Assistive Living and Wireless Emergency Alert System for Mobility Impaired Users
This study presents a flexible, multielement, touch sensitive patch, designed for assistive living applications. The patch has a pressure sensitivity of 0.826 kPa<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1</sup>, response time 600 ms, and only 11% drop in performance when bent at 30 cm radius of curvature. Output from the patch was given to a machine learning algorithm, designed to run on a low powered microcontroller for on-device computing. The system recognizes different touch gestures with 92% accuracy and triggers specific tasks, such as switching on/off the light or locking/unlocking the door remotely. It also acts as an alarm system that sends an SOS signal to the nearby device wirelessly, in case of emergencies. The device offers a promising solution for mobility-impaired individuals, such as the elderly or bedridden patients, empowering them to manage their day-to-day tasks independently and interact with their surroundings without minimal effort.
Authors
- Shrutidhara Sarma (ORCID: https://orcid.org/0000-0003-4283-3468)
- Eugen Koch (ORCID: https://orcid.org/0000-0001-8608-3350)
- Andreas H. Dietzel (ORCID: https://orcid.org/0000-0003-2090-6259)
- Gitansh Verma
Institutions
- Indian Institute of Technology Jodhpur (IN)
- Technische Universität Braunschweig (DE)
Publication Details
- Published
- 2025-06-22
- DOI
- https://doi.org/10.1109/fleps65444.2025.11105667
- Citations
- 2
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 2.55