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Prototype ultrasonic wayfinder with haptic feedback for an IOT environment


Yeom, S and Ryu, R and Pak, E and Kim, P, Prototype ultrasonic wayfinder with haptic feedback for an IOT environment, Proceedings of the 13th International Conference on Interfaces and Human Computer Interaction, 16-18 July 2019, Porto, Portugal, pp. 309-312. ISBN 978-989-8533-91-3 (2019) [Refereed Conference Paper]


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Copyright 2019 Inderscience

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DOI: doi:10.33965/ihci2019_201906c038


Pervasive computing and the Internet of Things (IoT) have stimulated the development of many new assistive devices. It is possible to incorporate sensors such as acoustic, inductive, capacitive, temperature, humidity, pressure, location, and many more. Haptic feedback provides a person with sensory information through the skin using vibration or force-feedback responses. Commercial organizations have moved very quickly into this design space, particularly Sunu (smart-watch), HandSight (cameras on glove), and others. Arduino and Raspberry Pi are examples of the computing platforms currently in use. Sonar or ultrasonic transducers enable the production of lighter equipment with improved functionalities. Sonar as a means of assistive navigation has been used extensively in maritime environments to detect animals (D'Amico and Pittenger, 2009, Evans and Awbrey, 1988). As an assistive technology, there are projects for the blind which upgrade their walking sticks with an ultrasonic sensor (Amemiya and Sugiyama, 2010).

Similar projects have been undertaken worldwide and most devices can only provide one or two designated functions. The size of the completed device is small enough to embed on a shoe, a walking stick, or on a wheelchair. A sonar sensor can detect something less than a meter from an individual user. This study uses a glove to attach a sonar sensor on a Raspberry Pi 0, whereas the Tacit glove (Hoefer, 2011) carries two sonar sensors with an Arduino controller actuating vibrating motors on a glove.

Item Details

Item Type:Refereed Conference Paper
Keywords:sensor technology, haptic feedback, wearable technology
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Modelling and simulation
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Yeom, S (Dr Soonja Yeom)
UTAS Author:Ryu, R (Miss Riseul Ryu)
ID Code:134229
Year Published:2019
Deposited By:Information and Communication Technology
Deposited On:2019-08-01
Last Modified:2022-09-02
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