Flex Sensor Enabled Glove based Manual Wheelchair for Elderly and Speech-Impaired Assistance
This paper presents a cost-effective manual wheelchair system designed to enhance mobility and communication for deaf-mute, disabled, and elderly individuals. The system employs a gesture-based mechanism using a glove with embedded flex sensors to detect finger movements, translating them into actionable commands. These commands are processed by a microcontroller to provide real-time feedback through three channels: visual messages displayed on an LCD, wireless communication with a caretaker's device, and audio feedback via a speaker. Testing demonstrates reliable gesture detection and response generation, highlighting the system's effectiveness in meeting the diverse needs of users. The design emphasizes affordability, ease of use, and adaptability, offering a practical and inclusive solution for individuals with varying levels of mobility and communication challenges.
Authors
- Kapil Amarnath (ORCID: https://orcid.org/0000-0003-2589-9684)
- Sumitra Singh (ORCID: https://orcid.org/0000-0002-5854-3353)
- Abhishek Tripathi (ORCID: https://orcid.org/0000-0001-8197-3581)
- K. Sudhakara Reddy
- B. Vishnu Vardhan
- C Bavesh
Institutions
- Central Electronics Engineering Research Institute (IN)
- Kalasalingam Academy of Research and Education (IN)
Publication Details
- Published
- 2025-02-27
- DOI
- https://doi.org/10.1109/isacc65211.2025.10969186
- Citations
- 1
- Primary Topic
- Gaze Tracking and Assistive Technology
- Type
- article
- Field-Weighted Citation Impact
- 1.94