Divyawear- a wearable haptic cueing system for the visually impaired Indian people

This research investigates the conception and assessment of an innovative smart vest engineered to augment the mobility and autonomy of individuals with visual impairments.Recognizing the inherent limitations of conventional aids like canes and guide dogs, which often impede navigation in intricate environments, this study proposes a smart vest integrating advanced technologies, including 3-D cameras, LiDAR, and vibration motors.The system aims to furnish real-time environmental perception and directional guidance through haptic feedback, thereby mitigating the constraints associated with existing assistive devices.The paper details the design and development of two prototypes, DW-1 and DW-2, emphasizing the technical implementation of object detection algorithms (YOLOv8), distance measurement methodologies, and predefined vibration patterns for conveying environmental cues.Rigorous empirical evaluation across diverse navigational scenarios, encompassing linear trajectories, turns, and obstacle avoidance, demonstrated the efficacy of both prototypes in facilitating user navigation, with the DW-2 variant exhibiting superior performance attributed to its enhanced sensor suite.A comprehensive review of the extant literature contextualizes the advancements in assistive technologies and delineates the specific research lacunae addressed by this investigation.The findings of this study underscore the significant potential of intelligent wearable systems to enhance the quality of life for visually impaired individuals, thereby highlighting the imperative for continued scholarly inquiry and the refinement of such technological interventions.

Authors

Publication Details

Journal
International Journal of Computer Applications
Published
2025-04-25
DOI
https://doi.org/10.5120/ijca2025924707
Citations
1
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
1.43

Funders

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article

Divyawear- a wearable haptic cueing system for the visually impaired Indian people

Nitesh Maheshwari, Priyam Parikh, Harsh Patel, Keyur D. Joshi
1 citations
International Journal of Computer Applications
Tactile and Sensory Interactions
1.43
article

Divyawear- a wearable haptic cueing system for the visually impaired Indian people

Nitesh Maheshwari, Priyam Parikh, Harsh Patel, Keyur D. Joshi
article en
1 citations

Abstract

This research investigates the conception and assessment of an innovative smart vest engineered to augment the mobility and autonomy of individuals with visual impairments.Recognizing the inherent limitations of conventional aids like canes and guide dogs, which often impede navigation in intricate environments, this study proposes a smart vest integrating advanced technologies, including 3-D cameras, LiDAR, and vibration motors.The system aims to furnish real-time environmental perception and directional guidance through haptic feedback, thereby mitigating the constraints associated with existing assistive devices.The paper details the design and development of two prototypes, DW-1 and DW-2, emphasizing the technical implementation of object detection algorithms (YOLOv8), distance measurement methodologies, and predefined vibration patterns for conveying environmental cues.Rigorous empirical evaluation across diverse navigational scenarios, encompassing linear trajectories, turns, and obstacle avoidance, demonstrated the efficacy of both prototypes in facilitating user navigation, with the DW-2 variant exhibiting superior performance attributed to its enhanced sensor suite.A comprehensive review of the extant literature contextualizes the advancements in assistive technologies and delineates the specific research lacunae addressed by this investigation.The findings of this study underscore the significant potential of intelligent wearable systems to enhance the quality of life for visually impaired individuals, thereby highlighting the imperative for continued scholarly inquiry and the refinement of such technological interventions.

International Journal of Computer ApplicationsVol. 186(79)
Ahmedabad University
Openalex Percentile: Top 20%
Tactile and Sensory Interactions
1.43
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