Body Powered Sensor Systems for Health and Environment
- Tom Snyder | NSF Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST)
Through nanotechnology research, ASSIST is building wearable sensor systems for the purpose of dramatically improving health and environment informatics. The talk will overview efforts in energy harvesting off the human body, sub-threshold CMOS research for ultra-low power devices and nano-enabled sensors. ASSIST is combining these technologies into wearable form factors for widespread market adoption and clinical approval. As users gain ability to monitor personal health parameters and personal environmental exposures real-time, the ability to manage wellness increases. Big data analytics of this network of wearable health devices will allow better advisement of environmental policy.
Speaker Details
Tom Snyder is an engineer by degree and innovator and problem solver by experience. He spent two decades in advanced product development in the mobile phone sector, helping launch many technology “firsts” in the product lines of Ericsson, Sony Ericsson and HTC. He has done consulting for the healthcare, satellite communications, entertainment and energy sectors, and is an inventor on over 25 US patents. Currently, Tom is supporting the ASSIST Center, headquartered at North Carolina State University. By day, Tom strives to build partnerships between ASSIST member universities and industry and government entities. By night he is an avid traveler, sports fan and DIY enthusiast.
-
-
Jeff Running
-
Series: Microsoft Research Talks
-
Decoding the Human Brain – A Neurosurgeon’s Experience
- Dr. Pascal O. Zinn
-
-
-
-
-
-
Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
- Hanuma Kodavalla,
- Phil Bernstein
-
Improving text prediction accuracy using neurophysiology
- Sophia Mehdizadeh
-
Tongue-Gesture Recognition in Head-Mounted Displays
- Tan Gemicioglu
-
DIABLo: a Deep Individual-Agnostic Binaural Localizer
- Shoken Kaneko
-
-
-
-
Audio-based Toxic Language Detection
- Midia Yousefi
-
-
From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
- Forrest Iandola,
- Sujeeth Bharadwaj
-
Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
- Ashique Khudabukhsh
-
-
-
Towards Mainstream Brain-Computer Interfaces (BCIs)
- Brendan Allison
-
-
-
-
Learning Structured Models for Safe Robot Control
- Subramanian Ramamoorthy
-