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Beyond Sensing: MEMS Intelligence for Context-Aware Systems

ABSTRACT 

Context awareness is becoming an increasingly prevalent requirement for modern smart systems – whether they are installed in vehicles, mobile devices or IoT settings. Smart MEMS Sensors are key to enabling this context awareness by sensing and assessing the environment of the system at minimal power costs and latency. The presentation will cover novel examples of ultra low power wake up functionalities for the automotive domain utilizing MEMS sensors instead or in addition to other sensor modalities. In the consumer world, the demand for edge intelligence is even more obvious due to extreme small power budgets on e.g. wearables. Local processing benefiting from new smart sensors is a must in order to cope with the huge amount of data produced by sensors every day and increasing privacy demands from users and government regulations. This is not only driving demand for established MEMS sensor types such as inertial, pressure or position sensors to give real world input to electronic systems but also pushing into newer applications. The last part of the presentation will draw an outlook of future sensors and systems based on MEMS technology. Examples in the medical field like intelligent bio-tests and on-chip diagnostics will be discussed. We will also touch on the advent of Intelligent autonomous systems with the options to use different combinations of MEMS sensors, local processing capability and MEMS Speakers for audio feedback.


BIOGRAPHY

Emma Abel, Robert BoschEmma is VP Engineering at Robert Bosch GmbH in Reutlingen Germany and heads R&D for MEMS Sensors there.  She joined the Bosch Group in 2002, and has since held various positions in field of MEMS, semiconductors and sensor R&D within various business units within Bosch.She is a MEMS enthusiast, with previous roles including inertial sensor development, functional safety and MEMS Sensor industrialization for consumer electronics.  Her current focus is on diversification in MEMS Sensors and their use in intelligent systems. Emma received her Masters Degree in Electronic and Electrical Engineering from the University of Strathclyde, in UK.