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.

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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
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Flex Sensor Enabled Glove based Manual Wheelchair for Elderly and Speech-Impaired Assistance

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1 citations
Gaze Tracking and Assistive Technology
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article

Flex Sensor Enabled Glove based Manual Wheelchair for Elderly and Speech-Impaired Assistance

Kapil Amarnath, Sumitra Singh, Abhishek Tripathi, K. Sudhakara Reddy, B. Vishnu Vardhan, C Bavesh
article en
1 citations

Abstract

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.

Central Electronics Engineering Research Institute (IN), Kalasalingam Academy of Research and Education (IN)
Openalex Percentile: Top 18%
Gaze Tracking and Assistive Technology
1.94
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