Architecture of a Wheelchair Control System for Disabled People: Towards Multifunctional Robotic Solution with Neurobiological Interfaces

Карпов, В. Э.; Malakhov, Denis G.; Moscowsky, Anton; Ровбо, М. А.; Sorokoumov, P. S.; Velichkovsky, Boris M.; Ushakov, Vadim L.

doi:10.17691/stm2019.11.1.11

Cited by 14 publications

(8 citation statements)

References 22 publications

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“…The problem of navigating wheelchairs autonomously was considered using 'low cost' navigation systems (Des Handicaps 2016) and more recently 'smart wheelchairs' were developed (Gomez Torres et al 2019). While early works considered the specific needs of a group of disabled users, namely those with cerebral palsy (Parikh et al 2007) we have, more recently seen attempts to build architectures for the development of robotic wheelchairs designed for a range of users with different needs (Karpov et al 2019). When handing over the control of a wheelchair to a system, safety should be considered and works by Vanualailai and Prasad (2021) reported a nonholonomic rear-wheel drive wheelchair that navigates in an obstacle-ridden environment to maintain a robust obstacle avoidance scheme.…”

Section: Disability and Autonomous Systems Researchmentioning

confidence: 99%

Trustworthy Autonomous Systems and Disabled Young People: A Critical Literature Review

White¹,

Picardi²,

Paterson³

et al. 2023

Preprint

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Autonomous robotic and AI assistive systems are becoming increasingly prevalent in public and private spheres—often heralded as having the potential to revolutionise the everyday lives of disabled people. The reality could not be more different: disabled young people are routinely excluded from such spheres and, significantly, from the recent efforts to ensure that autonomous systems are trustworthy. Our critical literature review explores how trustworthy autonomous systems (TAS) can be framed within a critical disability studies perspective. We introduce the field of TAS and explore the interdisciplinary field of critical disability studies. This brings us to a key question: how is disability conceptualised, methodologically explored and represented in the TAS literature? We address this question by considering the ways in which disability and TAS have hitherto connected in the literature. We conclude with suggestions for future research and innovation that place disabled young people at the core of research and innovation in TAS.

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Section: Disability and Autonomous Systems Researchmentioning

confidence: 99%

Trustworthy Autonomous Systems and Disabled Young People: A Critical Literature Review

White¹,

Picardi²,

Paterson³

et al. 2023

Preprint

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“…The robotic wheelchair (Figure 1) [31] was designed as both a prototype of an assistive device and an experimental platform for various research in the fields of steering vehicles, robotics and human-machine interfaces. The robotic wheelchair was based on a motorized wheelchair, the Ortonica Pulse 330.…”

Section: Apparatusmentioning

confidence: 99%

“…Moreover, in different conditions, the wheelchair traveled, on average, almost the same distance (1.95 ± 0.14 in Act, 1.97 ± 0.14 in Exp, 1.92 ± 0.16 in Rem). Direct comparison of estimates instead of differences has already been used by other authors who studied IB (e.g., [31,32]). For each participant, we determined the median of the estimates in every experimental condition for all five distance values.…”

Section: Distance Estimates and The Degree Of Controlmentioning

confidence: 99%

Subjective Distance Estimates and Sense of Agency in Robotic Wheelchair Control

et al. 2022

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Sense of agency (SoA) refers to an individual’s awareness of their own actions. SoA studies seek to find objective indicators for the feeling of agency. These indicators, being related to the feeling of control, have practical application in vehicle design. However, they have not been investigated for actions related to the agent’s body movement inherent to steering a vehicle. In our study, participants operated a robotic wheelchair under three conditions: active control by a participant, direct control by the experimenter and remote control by the experimenter. In each trial, a participant drove the wheelchair until a sound signal occurred, after which they stopped the wheelchair and estimated the travelled distance. The subjective estimates were significantly greater when participants operated the wheelchair by themselves. This result contrasts with observations under static settings in previous studies. In an additional study on the electroencephalographic response to a sound presented at a random time after movement onset, the observed latencies in the N1 component implied that participants might have a higher sense of control when they drove the wheelchair. The proposed methodology might become useful to indirectly assess the degree of operator control of a vehicle, primarily in the field of rehabilitation technologies.

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“…The brain control technology is increasingly used in intelligent wheelchairs. This technology usually collects EEG signals and extracts EEG features to realize intelligent control of wheelchairs [7][8][9][10]. Literature [11] uses headphones to capture EEG signals, and extract and recognize the key features of captured EEG.…”

Section: Introductionmentioning

confidence: 99%

A smart brain controlled wheelchair based on TGAM

Yu,

Xie

2023

5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023)

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A brain-controlled wheelchair system based on TGAM module is proposed, which can improve people quality of life which suffering from severe movement disorders. The TGAM is used as the EEG signals acquisition and processing module. The EEG data is transmitted to the micro-controller through the Bluetooth module. The data is validated and the concentration parameter is parsed, the concentration value is converted into the speed parameter of the wheelchair, and the key state is converted into the wheelchair movement direction parameter, to control the wheelchair movement according to the user's real-time concentration. The test results show that the TGAM module can accurately collect EEG signals, and the micro-controller can analyze the concentration data, and control the wheelchair's forward, backward and turn through the motor. The intelligent wheelchair is simple, easy to operate, and stable in function. It can be operated only through the user's concentration, providing a new convenient wheelchair control mode for people with walking difficulties.

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Architecture of a Wheelchair Control System for Disabled People: Towards Multifunctional Robotic Solution with Neurobiological Interfaces

Cited by 14 publications

References 22 publications

Trustworthy Autonomous Systems and Disabled Young People: A Critical Literature Review

Trustworthy Autonomous Systems and Disabled Young People: A Critical Literature Review

Subjective Distance Estimates and Sense of Agency in Robotic Wheelchair Control

A smart brain controlled wheelchair based on TGAM

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