Anthropomorphic Vision-Based AI Prosthetic Arm with Voice Control and Safety Monitoring

This work presents a smart prosthetic hand aimed at improving usability and safety for people suffering from limb loss. Dual Control It also has dual ways of being controlled - by voice command with the help of an Android application or by tracking a gazing user through a camera to adjust movement according to the user’s field of view. This makes for intuitive, no holds-barred control with more precision. For safety issues, the device comprises a fall detection element based on an accelerometer sensor. If a fall or abrupt motion is detected, the companion app sends the user's GPS location to their emergency contacts. Combined with advanced control and real-time safety, this prosthetic hand enables increased independence, quicker response to emergency situations and an improved quality of life for its wearers.

Authors

Publication Details

Journal
International Journal of Innovative Research in Engineering
Published
2025-05-17
DOI
https://doi.org/10.59256/ijire.20250603009
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Anthropomorphic Vision-Based AI Prosthetic Arm with Voice Control and Safety Monitoring

G. Hemanth, B. L. Manjunatha, A. Smitha, N M Kumudalakshmi et al.
International Journal of Innovative Research in Engineering
Hand Gesture Recognition Systems
article

Anthropomorphic Vision-Based AI Prosthetic Arm with Voice Control and Safety Monitoring

G. Hemanth, B. L. Manjunatha, A. Smitha, N M Kumudalakshmi, Nikhil Kumar D
article en

Abstract

This work presents a smart prosthetic hand aimed at improving usability and safety for people suffering from limb loss. Dual Control It also has dual ways of being controlled - by voice command with the help of an Android application or by tracking a gazing user through a camera to adjust movement according to the user’s field of view. This makes for intuitive, no holds-barred control with more precision. For safety issues, the device comprises a fall detection element based on an accelerometer sensor. If a fall or abrupt motion is detected, the companion app sends the user's GPS location to their emergency contacts. Combined with advanced control and real-time safety, this prosthetic hand enables increased independence, quicker response to emergency situations and an improved quality of life for its wearers.

International Journal of Innovative Research in Engineering
Openalex Percentile: Top 90%
Hand Gesture Recognition Systems
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