2021
Journal article  Open Access

Integrating wearable haptics and obstacle avoidance for the visually impaired in indoor navigation: a user-centered approach

Barontini F., Catalano M. G., Pallottino L., Leporini B., Bianchi M.

Computer Science Applications  Technological Travel Aids for Blind Users  Indoor Navigation  Obstacle Avoidance  Human-Computer Interaction  Wearable Haptics 

Recently, in the attempt to increase blind people autonomy and improve their quality of life, a lot of effort has been devoted to develop technological travel aids. These systems can surrogate spatial information about the environment and deliver it to end-users through sensory substitution (auditory, haptic). However, despite the promising research outcomes, these solutions have met scarce acceptance in real-world. Often, this is also due to the limited involvement of real end users in the conceptual and design phases. In this manuscript, we propose a novel indoor navigation system based on wearable haptic technologies. All the developmental phases were driven by continuous feedback from visually impaired persons. The proposed travel aid system consists of a RGB-D camera, a processing unit to compute visual information for obstacle avoidance, and a wearable device, which can provide normal and tangential force cues for guidance in an unknown indoor environment. Experiments with blindfolded subjects and visually impaired participants show that our system could be an effective support during indoor navigation, and a viable tool for training blind people to the usage of travel aids.

Source: IEEE transactions on haptics (Print) 14 (2021): 109–122. doi:10.1109/TOH.2020.2996748

Publisher: IEEE Computer Society,, New York , Stati Uniti d'America


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BibTeX entry
@article{oai:it.cnr:prodotti:423232,
	title = {Integrating wearable haptics and obstacle avoidance for the visually impaired in indoor navigation: a user-centered approach},
	author = {Barontini F. and Catalano M. G. and Pallottino L. and Leporini B. and Bianchi M.},
	publisher = {IEEE Computer Society,, New York , Stati Uniti d'America},
	doi = {10.1109/toh.2020.2996748},
	journal = {IEEE transactions on haptics (Print)},
	volume = {14},
	pages = {109–122},
	year = {2021}
}