Development of wearable IoT electronic device for at-home assessment and monitoring of Parkinson's disease
Implementing Organization
Principal Investigator
Dr. sunitha Anantha Karnam
sRM University, Andhra Pradesh
CO-Principal Investigator
Dr. sridhar
SRM Institute of Science and Technology (SRMIST), Tamil Nadu
sRM Institute Of science And Technology, Tamil Nadu-603203, Dr. Brindha Anbalagan
About
The study proposes a low-cost, non-intrusive system that can accurately measure a wide range of tremor parameters using ToF Image sensors, Wearable IMU sensor and AI evaluation board. Images from ToF cameras are usually obtained as synchronized depth and infrared (IR) image pairs. The customization of the existing deep nets to the IR and depth images allows us to reuse the existing models and techniques from this emerging domain. The applications targeted are ranging from resting tremor patients to gait analysis.
sRM University, Andhra Pradesh
sRM Institute Of science And Technology, Tamil Nadu-603203, Dr. Brindha Anbalagan
Acces sibility Controls