downloadGroupGroupnoun_press release_995423_000000 copyGroupnoun_Feed_96767_000000Group 19noun_pictures_1817522_000000Member company iconResource item iconStore item iconGroup 19Group 19noun_Photo_2085192_000000 Copynoun_presentation_2096081_000000Group 19Group Copy 7noun_webinar_692730_000000Path
Skip to main content

The Rise of Smart Garments: Sensors, AI and Fashion

ABSTRACT

Wearable technology has opened up exciting possibilities for continuous health monitoring and hands gesture recognition. In this speech, we will explore cutting-edge advances in three key areas. The first area is related to bioanalytes and vital sign measurements, where sensors within garments offer valuable insights into physiological health. The integration of AI algorithms enables real-time analysis of sensor data, potentially alerting wearers to health concerns. Wrist sensors offer intuitive interactions with devices, revolutionizing human-computer interaction. Smart garments pave the way for a future of seamless integration with our bodies, offering continuous health monitoring and personalized insights.


BIOGRAPHY 

Enrico Alessi, STMicroelectronics

 After graduating from the University of Catania (Italy) in 1997 with a degree in Electrical Engineering, Enrico’s professional career started with IBM and Wind Telecommunications working on ICT and telecommunication standards. In 2000 he joined ST to work on sensors for smart applications and later in the medical segment as R&D Manager and led a strategic project focused on human DNA analysis. During this time, he worked on building semiconductor chips and hybrid silicon-plastic devices, hardware, software and instrumentation for In Vitro Diagnostics, maturing experience in design for manufacturing, technical standards and medical certifications.

Today, Enrico is contributing ST to develop the next wave of devices for vital signs monitoring. Focusing on both integrated and system-in-package solutions, he and his team are working on developing devices and methods, platforms and solutions for monitoring vital signs and human physiological parameters for transversal applications from medical field to mobile phones and wearable devices for virtual and augmented reality. Enrico holds a second degree in Computer Science at the University of Catania in 2006.