A Simulation and Training Platform for Remote-Sighted Assistance

Remote-sighted assistance (RSA) is a technology designed to provide assistance for visually impaired people (VIPs). In this scene, a remote-sighted agent communicates and sends commands to navigate and assist VIPs via real-time video sent back. However, the latency in real-time video and the deviation in the execution of instructions by VIPs are two important factors that affect the performance of agents to guide them. Therefore, how to enable agents to better guide VIPs under conditions of video transmission latency and deviation in instruction execution is an important issue. In this paper, we utilize Unreal Engine to create a virtual training platform for RSA, which simulates VIPs executing instructions in the real world and resembles the environment in RSA systems. We aim to help remote-sighted agents quickly master the set of vibration commands formed after encoding tactile vibrations and enable them to guide VIPs more effectively. Our experiment results show that, compared with untrained novices, when guiding people through the same path, agents trained on this platform reduce their average time by 32.09% and their average number of contacts with the environment by 57.57%. Our work provides agents with a simple and convenient simulation and training platform designed to enhance their performance by guiding VIPs with less travel time and fewer environmental contacts. Through this platform, agents can more effectively assist the visually impaired.

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Publication Details

Journal
Sensors
Published
2024-12-04
DOI
https://doi.org/10.3390/s24237773
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
0.00

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article

A Simulation and Training Platform for Remote-Sighted Assistance

Yancheng Li, Jianhua Zhang, Rong Zhang, Jingjing Xu et al.
Sensors
Tactile and Sensory Interactions
article

A Simulation and Training Platform for Remote-Sighted Assistance

Yancheng Li, Jianhua Zhang, Rong Zhang, Jingjing Xu, Shengyong Xu, Bingao Zhang, Xiao Huang
article en

Abstract

Remote-sighted assistance (RSA) is a technology designed to provide assistance for visually impaired people (VIPs). In this scene, a remote-sighted agent communicates and sends commands to navigate and assist VIPs via real-time video sent back. However, the latency in real-time video and the deviation in the execution of instructions by VIPs are two important factors that affect the performance of agents to guide them. Therefore, how to enable agents to better guide VIPs under conditions of video transmission latency and deviation in instruction execution is an important issue. In this paper, we utilize Unreal Engine to create a virtual training platform for RSA, which simulates VIPs executing instructions in the real world and resembles the environment in RSA systems. We aim to help remote-sighted agents quickly master the set of vibration commands formed after encoding tactile vibrations and enable them to guide VIPs more effectively. Our experiment results show that, compared with untrained novices, when guiding people through the same path, agents trained on this platform reduce their average time by 32.09% and their average number of contacts with the environment by 57.57%. Our work provides agents with a simple and convenient simulation and training platform designed to enhance their performance by guiding VIPs with less travel time and fewer environmental contacts. Through this platform, agents can more effectively assist the visually impaired.

SensorsVol. 24(23)
Tianjin University of Technology (CN), Shandong University (CN), Peking University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 77%
Tactile and Sensory Interactions
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A Simulation and Training Platform for Remote-Sighted Assistance — Yancheng Li, Jianhua Zhang, et al. · Sensors (2024) | TGRS Research Map | TGRS