sensors

Not long after STMicroelectronics opened its first semiconductor plant in Singapore more than 50 years ago, a facility chiefly focused on chip assembly and packaging, the company realized that it had constructed the site in an area with a blossoming chip ecosystem with a bright future. Before long, the company became the first to start a wafer fab facility in the so-called Little Red Dot. Today, our STMicroelectronics Singapore campus sports several buildings that dwarf the original site in the sprawling Ang Mo Kio Industrial Park 2. The facilities feature advanced 200mm manufacturing lines but still produce huge volumes of chips with more than 1,000 pieces of 150mm manufacturing equipment.Much of the wafer equipment dates back to the past century so is no longer supported by the manufacturers, if they’re still even in existence. Yet decades later the chipmaking gear continues to operate with a surprising reliability that far surpasses the longevity called for in its manufacturing specifications thanks to replacement parts and frequent upgrades with more sophisticated handling robots and chucks. Now, as smart manufacturing begins to establish a foothold in the semiconductor industry, Industry 4.0 technology is breathing new life into these aging workhorses.Despite its age, all of the equipment adheres to industry manufacturing standards. The gear is remotely controlled using the SECS/GEM interface protocol that was either originally integrated with the equipment controller or custom-made. We’ve also maximized its usage through advanced recipe management, advanced alarm and event handling, and secured lot identification.Crucially, we decided to systematically deploy a real-time fault detection and classification (FDC) solution using a third-party product based on what today is known as an edge computing architecture. Every piece of critical processing equipment is progressively paired with its dedicated FDC instance running on a virtual machine in the wafer fab data center, and the FDC solution monitors vital equipment parameters at high frequency – depending on the SECS/GEM capabilities of the equipment – and analyzes incoming manufacturing data in real time using classic SPC (statistical process control) algorithms and even AI-class protocols.Our use of the FDC edge solution as a sensor signal aggregator has given our equipment a second life. The solution processes real-time signals from sensors connected through a typical TCP-IP. Sensors have been the old equipment’s saving grace with their ability to de-multiply equipment capabilities and overcome fundamental shortcomings and design weaknesses. The STMicroelectronics Singapore plant first used off-the-shelf sensor nodes with built-in power amplifier and analog input nodes. While very practical and easy to implement, deploying the nodes can be costly. After developing more expertise in sensor integration using FDC, our wafer fab equipment experts decided to design an in-house solution based on the famed STM32 microcontroller. Leveraging Arduino – an open-source electronics platform with easy-to-use hardware and software – the equipment teams can now design and program a variety of in-house sensors for measurements including temperature, humidity, waterflow and pressure. The sensors are integrated with process equipment using the FDC solution. Integrating the sensors with the FDC engine on the edge computer extends the capabilities of old equipment without jeopardizing the integrity of the machines themselves. While the integration can be quick, it must be robust to ensure the reliability of the new measurements. Similarly, ever-increasing connectivity requirements present clear cybersecurity risks that must be managed upfront and each solution must be hardened to minimize security vulnerabilities. Even so, the challenges and risks pale in comparison to the benefits! Jean-Marc PHILIPPE is DIT Director at STMicroelectronics Pte Ltd. He oversees the deployment and support of Digital Solutions to enable STMicroelectronics front-end operations in Singapore and manages manufacturing productivity and automation programs at site level.

Innovations in the public sector are springboards for new products in digital health and personalized medicine. Since 2013, SEMI NBMC, funded by the Air Force Research Laboratory (AFRL), has been evaluating industry needs and soliciting proposals for new research into the foundations of device development and manufacturing of medically actionable devices.SEMI NBMC has run 17 separate programs with more than two dozen organizational participants developing materials, electronics, microfluidics, manufacturing processes and algorithms to create low-cost, wearable sensors. Most of these integrated sensing systems communicate wirelessly and incorporate high-performance silicon devices that are designed to move with the individual. Each of the projects was the result of a proposal received during NBMC’s annual proposal cycle. ​What’s Next in MedTech Device Development?We invite you to join the teams at SEMI, NBMC and AFRL to answer that question in a virtual series of sessions over the four weeks in August.For the past five years, NBMC has been conducting similar sessions for roadmapping the development of non-invasive human performance monitoring technology and manufacturing. The information feeds into the topics for upcoming RFPs, including the one we expect to release in September 2020. Previous Workshops (formerly entitled Blood Sweat and Tears) brought together industry and university innovators to explore current product research and provided excellent insights for the proposal evaluation teams. We believe the insights are also very useful to the business and technology planning direction for researchers and developers working on these products.Our focus is on early-adopting markets – medical professionals and their patients, Army and Air Force personnel and high-performance athletes.​ In this time of social-distancing and overall hesitancy to approach hospitals and medical offices, medical monitoring that provides medically-actionable intelligence is of even greater significance.But Doesn’t FitBitTM Have that Covered?Advancements are coming fast and furious – but medical professionals and insurance companies are struggling to distinguish innovations that provide actionable intelligence from those that provide generalized, non-actionable data.The workshop will focus on the medically relevant information that requires a great deal more accuracy, testing and certification before decisions are made. It is the innovations in this field that will lay the groundwork for new products in digital health and personalized medicine. Additionally, they are leading to advancements in aeromedical monitoring and diagnostics to support the U.S. Air Force’s mission to improve patient care during emergency air transport. The targeted future state is real-time monitoring of biochemical and physiological markers that can guide optimization of human performance and health. ​The SMART MedTech Virtual Workshop Series will link markets with manufacturing for medical relevancy – addressing both ends of the ecosystem. This forum will bring together the players across the growing range of industries that are entering or advancing human monitoring applications to:​ share competitive ideas that may be applied to product development​, assess roadblocks in bringing human monitoring products to market, and form partnerships that have become key in overcoming obstacles to successful manufacturing and product development. ​ Join the experts who are at the cutting edge of product design and manufacturing techniques. Indeed, the success of previous workshops was based on the unique membership of NBMC, where product and manufacturing-oriented engineers from industry, universities, and government labs form teams and pool resources (financial as well as technical) to accelerate human monitoring product development into manufacturing prototypes.Can’t Attend the Workshop?All sessions will be recorded and available for watching and re-watching on-demand. Join our interest list to receive regular updates on SEMI NBMC activities, including notification of the RFP expected to be available in October 2020.Find out more about the Smart MedTech Initiative and the NBMC Programs at our website.Rene Krantz is Director of R D Programs Business Development at SEMI. She is the primary manager of SEMI Smart MedTech Initiative and NBMC programs. Contact Rene at [email protected].

(The following is an excerpt of an article published by i-Micronews.)We are today entering a new era when sanitary checks will be regularly required to travel, do shopping, or have a social and cultural life. In this article and the related new Yole Développement (Yole) report, Thermal Imagers and Detectors 2020 – COVID-19 Outbreak Impact – Preliminary Report, we analyze how the COVID-19 outbreak could affect the thermal technology market and industrial landscape.To resume normal air traffic, air passenger screening to detect travelers with signs or symptoms of infectious disease will require new modalities. Thermal imagers could be used as a fast primary testing solution. This won’t be the first time actually. In the previous SARS, H1N1 and Ebola epidemics thermal cameras were used in some airports to screen travelers for fever. Of course, the size of the previous epidemics was not big enough to give this technology much attention. The way forward would be a triage process. Thermal imagers based on microbolometer technology can be installed at airports. If a fever is detected, then the traveler could be taken aside to get further tested with a more accurate handheld contactless thermometer. If the fever is proven, then they can be isolated for further examination, either a history check, and/or a diagnostics test, provided that it gives results in a reasonable amount of time.Airports are not the only places where thermal imagers can be the new norm. In April 2020, more than 50 Amazon warehouses had cases of COVID-19. Typically, workers were having their temperatures checked by handheld thermometers at the entrance. Amazon installed thermal cameras at some of their sites, which allows for faster screening. If needed, a secondary, forehead temperature check is performed if the employee is flagged from the camera, according to Reuters. Other companies that have explored using the thermal camera technology include Tyson Foods Inc and Intel Corp. Even some schools in China have started using them. This is an example of how businesses and infrastructure are turning to methods for containing the spread of virus by using technologies that previously went unnoticed by the general public.More businesses can adopt thermal cameras. In all countries, between 5% and 10% of enterprises employ more than 50 people, according to the OECD. To return to work, they could use thermal cameras to monitor body temperatures of employees as well. Here we are talking about cameras in the order of hundreds of thousands units.But this might not be enough. Everyone will probably want to have the ability to check their body temperature at any time. We have here a big market opportunity for integration of thermal imaging into smartphones or wearables. This integration has been in process for years. And it has long been perceived as the next sensor to be integrated in a mobile phone after pressure, inertial MEMS, or CMOS imagers. However, when 3D sensing technology was launched by Apple in 2017, all smartphone manufacturers focused their effort on this application, and were not interested in thermal imaging. Nowadays, because of the COVID-19 pandemic, people are much more sensitive to checking their own temperature and those of people around them, usually several times per day. Integration of a contactless thermometer could make sense. So there could be a revival of the use case of thermal imaging capability or temperature measurement in a smartphone or a wearable in the future.Click here to read the full article in i-Micronews.Eric Mounier Ph.D. is Fellow Analyst at Yole Développement (Yole). Dimitrios Damianos, Ph.D. is a Technology and Market Analyst at Yole Développement (Yole) working within the Photonics, Sensing Display division.Yole Développement is a member of SEMI and the MEMS Sensors Industry Group (MSIG), a SEMI Strategic Association Partner.

As government and business leaders start to talk about “returning to normal,” and looking to thermal cameras to help, questions remain about how and whether the latest technology can help prevent the spread of COVID-19.Across industries, everyone is looking for the right tools to help detect, slow and eventually stop SARS-CoV-2, the virus that causes COVID-19. By now we’ve all come to recognize that resuming operations in any way will require demonstrating measures to protect the health and wellbeing of people in a variety of situations, including travel and work.One proposed solution is thermal scanners. Unlike most medical imaging approaches, infrared (IR) thermography doesn’t require irradiation or expensive equipment, and presents no health hazard. Infrared radiation emitted from our skin can be detected and used along with information about the ambient environment to estimate core body temperature — which may indicate someone is running a fever, a common early symptom of COVID-19. While thermal cameras can’t detect a virus or a specific infection, they can help by quickly narrowing down a large pool of possibly infected individuals. And today, this represents the only viable non-contact mass screening approach for fever. The accuracy of the infrared system can, however, be affected by human, environmental and equipment variables. Understanding this multitude of variables — including the ways in which the science, technology and applications themselves interact — will help both users and system makers deliver the best results.Consideration #1: Think about the methodThermal detection has been used for fever detection for 20 years now. While older thermometers and thermal cameras, including the type used to detect a different coronavirus, severe acute respiratory syndrome (SARS), had their weaknesses, newer generations deliver significant performance improvements. More intelligent systems now offer features such as real-time calibration to ambient temperature with sub-degree °C accuracy, providing more accurate readings far more quickly than older generations.Newer camera systems are also more user-friendly and more reliable, featuring automated target recognition, improved resolution, pairing with a visible-light camera, automated alarms for febrile cases, and clearer outlining of hot spots. This higher degree of granularity improves insight, allowing for a more efficient and faster screening process, and provides on-site health professionals with necessary information to take additional steps when required. Advanced image processing features in new radiometric thermal cameras. Consideration #2: Know your baselinesBecause the environment can influence temperature measurements, some system makers have devised different ways to establish functional baselines. An early approach, recording a population baseline at each site on each day, proved too time- and resource-intensive. A newer approach, using a reference temperature source, or black body, offers evolutionary improvement. Designed to maintain itself at a specific temperature, the black body device allows the thermal camera system to automatically calibrate. Even better is a radiometric camera, which can intepret the intensity of an infrared signal reaching the camera. This requires more rigorous design and testing by the manufacturer, but it delivers much more precise measurements.Diagram of a fever detection system with black body emitter Consideration #3: Looking in the right place While thermal cameras can only detect surface temperatures, different parts of the human body more closely correlate with body temperature. Based on recent scientific research, the most reliable spot in the human face is the canthus, the small corners over the tear duct of your eye where the upper and lower eyelids meet. This kind of precise targeting requires accurate pixel calibration capabilities. The best surface target for estimating core body temperature: the canthus at the inner eye Consideration #4: Checking your performance Operating an IR fever screening system in the lab is one thing, but out in the field, the situation becomes more complex. Users need a camera system that is reliable and stable when it comes to critical performance factors like resolution, sensitivity and frame rate. Understanding the performance considerations when imaging a subject at a distance, for example, and realizing the minimum number of pixels required to get an accurate measurement are both essential in staging a fully optimal fever-detection platform.Consideration #5: Finding your way in the “wild west” of thermal imaging in early 2020People from the many industries that have been devastated by this pandemic – including travel, sports, manufacturing, food and hospitality, and entertainment — are looking for ways to reopen businesses safely while reducing the probability of a second wave of COVID-19. Deploying technology such as IR fever screening systems as part of a range of preventative measures will hopefully support that effort.As is the case with any promising emergent technology, there is a fair degree of chaos around the nuanced considerations of system design and performance. What standards apply to IR fever-screening devices? Which are being enforced? Who makes them? Will they work? IR camera manufacturers such as Teledyne DALSA and the expert system integrators we work with can play an important role in helping manufacturers and integrators to navigate this chaos, enabling us to work together to potentially save lives.For an even more in-depth look at this topic, visit this page, download our whitepaper Thermal Imaging Technology for Fever Screening, or browse.Jean Brunelle, product manager for infrared imaging, is a technical leader in sensor integration at Teledyne DALSA. He works on developing new image correction and calibration algorithms as well as qualification and production tests for the company’s visible and LWIR lines of digital cameras. Having earned a bachelor’s degree in engineering physics and a masters in surface chemistry, he has a passion for all things sensors, from how they work to how they are fabricated and used. His focus for the past few years has been on micro-bolometer-based LWIR cameras. Most recently, he was involved in the development and testing of Teledyne’s very own WLP micro bolometer and its integration into a thermal camera.Teledyne DALSA is a member of MEMS Sensors Industry Group (MSIG), a SEMI technology community that enables the MEMS and sensor industry to address common challenges, innovate and accelerate business results.

The seemingly simple act of commanding consumer devices by voice is a choice that nearly 118 million Americans now make every day, according to a recent report from eMarketer, the digital marketing research firm.While the voice interface is convenient for users, its implementation comes at the potential loss of individual privacy. The reason? Always-on, always-connected voice-first devices such as Amazon Alexa and Google Home require a wall plug and an internet connection to powerful cloud processors, making it possible for cloud companies — however benignly — to collect data on personal habits, location and conversation that were never intended for sharing. Move processing to the edgeTo address concerns over user privacy, device designers are attempting to do more of the audio processing within the consumer device, rather than sending users’ voices into the cloud. Moving more processing to the edge is a trend across the Internet of Things (IoT) industry, and not just for voice data but for other types of sensitive or proprietary data as well.Yet designers have realized limited success because the conventional approach to always-listening edge processing is notoriously inefficient: It digitizes and processes 100% of incoming sound data even though up to 90% of the data is irrelevant noise. This digitize-first approach wastes vast amounts of system power digitizing and analyzing the audio signal as it searches for a wake word when there isn’t even speech present, making it impractical for use in small, battery-operated devices.Workarounds don’t workTackling this power issue is critical to keeping private data secure. Unfortunately, it’s also exceptionally difficult. Design engineers have tried workarounds to decrease power consumption in an always-listening system, including duty cycling and reducing the power of each individual component in the audio signal chain that handles the data. The reality is that these kinds of approaches don’t address the root cause of the problem: too much data.To truly tackle the problem, we need to change our approach to a system solution, not a component solution. By moving to a more efficient edge architecture that intelligently minimizes the amount of data that moves through the system, we can focus the system’s energy resources on analyzing voice and not on searching for a wake word in irrelevant noise. Analyze, THEN digitize It’s time to move away from the digitize-first approach that has dominated voice wake-up device architecture since the invention of voice-first applications.Inspired by the way the human brain efficiently filters incoming information, differentiating, for example, a dog bark from a baby’s cry, an ultra-low-power analog machine learning technology is changing this paradigm. For the first time, device designers can use low-power analog machine learning to detect which data are important for further processing and analysis prior to data digitization.Leveraging an analyze-first architecture, a new analog neuromorphic semiconductor platform allows the higher-power-processing components in the system to stay asleep until voice has actually been detected, and only then does it wake them to listen for a possible wake word.Delivering a post-microphone audio chain that draws as little as 25µA of current when always-listening and collecting preroll data, this analyze-first architecture allows designers to extend battery lifetime significantly. That’s the difference between smart earbuds that run for weeks instead of hours or a battery-powered smart speaker that runs for months instead of weeks.More importantly, it’s the difference between the current always-listening devices that indiscriminately record and send all sound data to the cloud, and one that has the localized intelligence to select and send only the relevant data, reducing the user’s vulnerability to the loss of private data.Balance convenience with privacyThe trade-off between making our lives easier and keeping our personal information private is a choice that we are asked to make throughout our day in a hundred different ways. Bringing more audio processing capability to the mobile device without draining the battery is the first step toward delivering more secure voice-first solutions. But to succeed in this effort, we must shift to a bio-inspired architecture that determines which data are important and requires further processing at the earliest point in the signal chain. Once we move to the analyze-first approach, only a small fraction of the tens of zettabytes of data collected by the forthcoming generation of always-on IoT devices will require further processing in the device and in the cloud.A better balance between cloud and edge processing is a better balance between convenience and privacy, and that’s a win for everyone.About the AuthorTom Doyle is CEO and founder of Aspinity. He brings over 30 years of experience in operational excellence and executive leadership in analog and mixed-signal semiconductor technology to Aspinity. Prior to Aspinity, Tom was group director of Cadence Design Systems’ analog and mixed-signal IC business unit, where he managed the deployment of the company’s technology to the world’s foremost semiconductor companies. Previously, Tom was founder and president of the analog/mixed-signal software firm, Paragon IC solutions, where he was responsible for all operational facets of the company including sales and marketing, global partners/distributors, and engineering teams in the US and Asia. Tom holds a B.S. in Electrical Engineering from West Virginia University and an MBA from California State University, Long Beach. For more information, please visit https://www.aspinity.com/Technology.Aspinity is a member of MEMS Sensors Industry Group (MSIG), a SEMI technology community, that enables the MEMS and sensor industry to address common challenges, innovate and accelerate business results.

Technology advancements seem to be coming at us fast and furiously. Every time you turn around, another company is introducing a breakthrough product with claims of far-reaching implications on how we live and work. But how often do consumers really experience disruptive innovation, like the kind that smartphones and cloud computing have had on our lives? Instead of astounding people, many new products that hit the market today are merely upgraded versions of their predecessor – perhaps offering smaller footprints with faster processors, more attractive packaging, or add-on features. These upgrades tend to underwhelm customers, offering no compelling reason to justify their accompanying price hikes.What consumers want is disruptive technology that truly enhances their lives, whether at work, at home or at play. And that’s exactly what product manufacturers want to deliver. So what’s holding them back?The Limits of Traditional BatteriesThe challenge doesn’t lie in envisioning exciting new offerings. Vendors are great at that. Rather, when it comes to consumer-focused, electronics-based products, the culprit is often conventional, rigid and thick batteries that limit what can be designed around them.But it doesn’t have to be this way.Advances in flexible and thin batteries can spark a whole new level of product differentiation. Even though such batteries have been available now for a few years, they are still a foreign concept to many product designers accustomed to conventional off-the-shelf energy storage that is fixed in rigidity and shape. It’s hard for some people to believe that batteries can fold and flex while maintaining their performance and safety. As a result, they design products around rigid battery parameters. The Promise of FlexibilityFortunately, flexible battery technology is available today, even for high-volume production.While the allure of flexible battery technology is strong, we find ourselves having to reassure manufacturers that flexible batteries are every bit as dependable as their rigid progenitors. Our testing shows that performance-integrity in flexible batteries is strong. They can be flexed, bent and even rolled in any direction without deteriorating performance. For instance, we tested a flexible battery by bending it 10,000 times to prove that it has essentially the same capacity as a non-bent battery. This flexibility gives designers and engineers a new level of freedom in hardware design: Manufacturers can now place batteries in spaces not possible or practical before. Take smartwatches, for instance. Instead of locating batteries in only the head case, engineers can embed a flexible, thin battery in the strap band to increase accessible energy or lengthen battery life. As market demand grows for wearables and hearables, smart apparel and other personal battery-powered products, consumers want more natural-feeling experiences. Unlike fixed off-the-shelf energy solutions offered in a limited range of form factors and capacities, flexible batteries can support customization by size, thickness and capacity, enabling development of products that are smaller, lighter and more comfortable.Rigid batteries are problematic on a whole other level, and that’s safety. Electrolyte advancements ensure flexible batteries are safer. The latest gel-polymer electrolyte is safer than liquid electrolyte because it does not contain liquid that would leak if the battery is pierced or penetrated – yet it still delivers the same high level of ionic conductivity. This is a great advantage for manufacturers of wearables in medical devices, sports equipment and fabrics, industrial applications, and consumer electronics. Knowing that their devices contain safer components not only brings peace of mind to manufacturers and consumers but also increases both adoption and usage rates. Staying competitive in any technology-driven market requires a steady stream of innovation. To rise above the pack, companies must fearlessly embrace advancements that will differentiate them in the marketplace. Your choice of battery is critical to your hardware design – especially if consumers will be in direct contact with the battery. The performance and enhanced safety inherent in next-generation flexible batteries can free you to create disruptive products that deliver a compelling user experience. To learn more about flexible batteries, visit Jenax.EJ Shin delivered an engaging presentation at 2019FLEX Japan (May 22-23, 2019, in Shinagawa, Tokyo), where she discussed Jenax’s flexible and customizable rechargeable battery, a technology that allows batteries to integrate seamlessly into a new generation of medical devices.FLEX Japan is a hosted by FlexTech and MEMS Sensors Industry Group, SEMI technology communities.EJ Shin is Global Director at Jenax Inc., a company that pioneered the next-generation flexible, thin battery that can be bent and rolled in any direction. She has been with Jenax since the company initiated its battery development. EJ helps device and wearable companies leverage Jenax’s customized battery solution for their innovative products. Earlier, she held communications consulting positions at Fleishman Hillard and G20 Summit in Korea. EJ holds an MBA from Yonsei University, South Korea, and a B.A. in International Relations from Tufts University, U.S.

Francois Jeanneau, president and CEO of Novasentis, has spent the last two decades building strategic relationships, increasing revenues and catapulting growth at leading consumer OEMs and ODMs. Jeanneau will present the world’s thinnest haptic actuator technology at the upcoming FLEX and MEMS Sensors Technical Congress 2019, February 18-21 in Monterey, Calif. SEMI’s Maria Vetrano interviewed Jeanneau to give FLEX and MSTC attendees a preview of this new technology that will enable rich, customizable haptic experiences with virtual reality (VR), hand-held game controllers and flexible wearable devices such as wristbands.SEMI: What do consumers want from haptic feedback? How can the technology industry improve the user experience with haptics?JEANNEAU: In many applications such as VR and gaming, our visual and auditory senses are satisfied by high-resolution displays and good-quality speakers, but they lack the sensation of realistic touch. That’s because haptic technology has lagged the technological advancements that we have made in displays, microphones and speakers. It’s also fallen far behind what is possible on the software side. At the same time, consumers are demanding more from their VR and gaming experiences.Through improvements in haptics, prospective home-buyers touring a home via VR headset will be able to “feel” those granite countertops in the kitchen, assess whether their couch will fit in the living room and check out the view from the back porch, all from the comfort of their own home. Virtual travelers will be able to touch the marble walls of the Taj Mahal, and sports enthusiasts will feel the impact of a tennis ball when they use their haptics 2.0-enabled controller.Haptics will dramatically improve what’s possible in wearable devices as well. From their smartwatches, consumers will discern hundreds of different sensations, from a mild heartbeat to a sharp reminder that they are steering a car through an intersection. This is all possible through new haptic actuator technologies that can accept hundreds of inputs to generate an entire haptic language of outputs.SEMI: What are some major obstacles to realizing improvements in haptics for flexible devices such as wrist-worn devices?JEANNEAU: The best wrist-worn devices today offer a rudimentary haptic output that merely says, “hey, pay attention to me.” To comprehend the alert, the user must look at the display, press a few buttons and then interact with the device. This distracts the user while riding/driving, creating potentially dangerous situations. It’s also frowned upon, particularly in the middle of a meeting!The legacy haptic technologies – eccentric rotating mass (ERM) motors and linear resonant actuators (LRAs) – that are currently used in today’s devices are problematic on multiple levels. They are bulky, sometimes occupying a third of the real estate in a smartwatch. As they are generally made of metal, they are also heavy and too thick for many devices. Their output tends to be slow, lagging the output in the display, making the whole experience clunky. They tend to be power-hungry as well.SEMI: How is Novasentis approaching these technical challenges?JEANNEAU: Novasentis has created an extremely thin (150 um), flexible and low-power polymer film actuator that is small enough to be easily embedded into the next generation of smarter wearable devices and garments; the actuator can provide hundreds of different types of vibrating feedback to the wearer for improved notification and/or suggested actions. The film actuator (that can replace a mechanical motor vibrator found in smartphones and smartwatches) is made by stacking layers of electroactive polymer and metal to create the piezoelectric structure. Upon power-up via a modulated waveform, the molecules move to align themselves in response, which elongates and relaxes the polymer. This causes the attached substrate (wristband in a watch, for example) to bend and relax, thus, causing the vibration effect, or haptic and audio feedback (which is unique to our material).SEMI: How will you demonstrate your technical approach at FLEX 2019?JEANNEAU: We will bring examples of designs incorporating our technology as we share live demos of wearables, game controllers and other applications. We will also bring actual haptic actuator materials for show and tell.Francois Jeanneau will present Flexible Actuators for Sensational Haptics at Flex and MSTC on Wednesday, February 20 at 8:00 am. Register today to connect with him at the event. To learn more, click here. MSTC Flex 2019 is organized by the MEMS Sensors Industry Group (MSIG) and FlexTech. Maria Vetrano is a public relations consultant at SEMI.