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HIGHLIGHTS

  • TCS Research in collaboration with Jadavpur University, India, uses machine learning and human behavior sensing technology to come up with a wearable device-based approach to assess the mental workload of the user.
  • Most fitness trackers in the market use photoplethysmography technology, which measures heart rate and heart rate variability, whereas stress or anxiety can be better measured using electrodermal activity technology. 
  • Experts talk about the use of the endosomatic device-based approach, where activity signatures within the body are picked up based on stress or anxiety levels, providing an edge over the other wearables.
How Wearables are Making a Difference in Mental Health Assessment


Prior to the pandemic, an estimated one in eight people lived with mental health issues across the globe, according to the World Health Organization. The first year of the pandemic saw a rise in both anxiety and depressive disorders by more than 25%. 

What if one could assess their mental health status through a wearable device with better accuracy? On the occasion of World Mental Health Day on October 10, the experts in this show explore the working of wearable devices to assess mental health, based on human behavior sensing, and how their research is different from the devices available in the market. Read about their research here - https://dl.acm.org/doi/10.1145/3396870.3400012

Ramesh Ramakrishnan, Principal Scientist, TCS Research, and Professor Ratna Ghosh, faculty at the Instrumentation and Electronics Engineering Department, Jadavpur University, India, tell us what a wearable device-based approach in the context of mental health means, and why their research in this area becomes key. Listen in.