MEMS Sensor Software Solutions for Biological and Human Movement Sensing
Abstract:
MEMS sensors are now crucial for personalized healthcare applications. In this talk, we will explore the evolution of MEMS sensor software solutions for human and biological sensing. We will discuss advanced sensor fusion, dead reckoning, calibration, and localization techniques. New advancements such as vertical analog frontend and intelligent MEMS sensors will be introduced. Case studies include gait tracking using motion sensors and nervous system electrical activity sensing using vertical analog frontend.
Date and Time
Location
Hosts
Registration
- Date: 20 Mar 2025
- Time: 01:50 AM UTC to 03:00 AM UTC
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- SCV/SF/OEB Jt. Section Chapter, SEN39
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Bernard Herrera-Soukup
IEEE SFBA MEMS & Sensors Chapter, Chair
Speakers
S. Siddharth
Biography:
S. Siddharth is a senior staff engineer at STMicroelectronics, where he works on algorithm design, artificial intelligence and machine learning software solution for MEMS sensors. Prior, he has worked on biosensing and human sensing for MEMS and biosensors at various companies such as PyrAmes, Cala Health, Sensoplex and CSR. He has over 12 years of experience in the technology industry. He has been instrumental in developing innovative solutions that integrate software and hardware. He plays a crucial role to deploy these solutions to production and enhance user experiences.
At STMicroelectronics, Siddharth has played a key role in developing next-generation sensors that offer improved sensitivity, miniaturization, and energy efficiency, paving the way for new applications in personalized medicine and IoT devices.
Siddharth holds a Master’s degree in Geomatics Engineering from the University of Calgary, and a Bachelor’s Degree in Engineering Physics from the Indian Institute of Technology, Delhi. He has authored several publications and patents on MEMS and biosensing technologies.
Address:United States
Agenda
6:50 PM - 7 PM: Registration
7 PM - 8 PM: Talk and Q&A