Wireless embedded wearable haptic assistance navigation device based on networked technology for the visually impaired

This paper presents HAND (Haptic Assistance Navigation Device), a wearable device designed to help people with visual impairments navigate their surroundings more safely and independently. Worn on the back of the hand, HAND uses a combination of an ultrasonic sensor and an infrared Time-of-Flight sensor to detect obstacles. When an obstacle is detected, HAND provides clear and precise tactile feedback through small vibrating motors, giving the user immediate information about their environment. The paper details the device's design, including its power system, how the sensors work together, and the vibration feedback system. The performance of the device is ensured through extensive testing procedures. Our tests showed that both sensors are highly accurate, detecting distances with very little error. We also confirmed that the vibration motors respond quickly and provide easily noticeable feedback. Demonstrations with users indicate that HAND successfully identifies obstacles and helps users understand their environment through touch. Looking ahead, HAND has the potential for further improvements, such as integrating a sensor to track spatial orientation and refining the vibration system. As a component of a larger electronic travel aid, HAND shows great promise in significantly assisting individuals with visual impairments.

Authors

Institutions

Publication Details

Journal
Computers & Electrical Engineering
Published
2025-06-18
DOI
https://doi.org/10.1016/j.compeleceng.2025.110540
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wireless embedded wearable haptic assistance navigation device based on networked technology for the visually impaired

Shang-Hsien Liu, Guo‐Hua Feng
Computers & Electrical Engineering
Tactile and Sensory Interactions
article

Wireless embedded wearable haptic assistance navigation device based on networked technology for the visually impaired

Shang-Hsien Liu, Guo‐Hua Feng
article en

Abstract

This paper presents HAND (Haptic Assistance Navigation Device), a wearable device designed to help people with visual impairments navigate their surroundings more safely and independently. Worn on the back of the hand, HAND uses a combination of an ultrasonic sensor and an infrared Time-of-Flight sensor to detect obstacles. When an obstacle is detected, HAND provides clear and precise tactile feedback through small vibrating motors, giving the user immediate information about their environment. The paper details the device's design, including its power system, how the sensors work together, and the vibration feedback system. The performance of the device is ensured through extensive testing procedures. Our tests showed that both sensors are highly accurate, detecting distances with very little error. We also confirmed that the vibration motors respond quickly and provide easily noticeable feedback. Demonstrations with users indicate that HAND successfully identifies obstacles and helps users understand their environment through touch. Looking ahead, HAND has the potential for further improvements, such as integrating a sensor to track spatial orientation and refining the vibration system. As a component of a larger electronic travel aid, HAND shows great promise in significantly assisting individuals with visual impairments.

Computers & Electrical EngineeringVol. 126
National Tsing Hua University (TW)
Openalex Percentile: Top 87%
Tactile and Sensory Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Wireless embedded wearable haptic assistance navigation device based on networked technology for the visually impaired — Shang-Hsien Liu, Guo‐Hua Feng · Computers & Electrical Engineering (2025) | TGRS Research Map | TGRS