A smart wheelchair based on ubiquitous computing

Tavares, João; Barbosa, Jorge Luís Victória; Costa, Cristiano André da; Yamin, Adenauer; Real, Rodrigo

doi:10.1145/2504335.2504336

Cited by 6 publications

(5 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Sci. W. Switzerland [49] Fribourg, Switzerland 2012 University of Sydney [50] Sydney, Australia 2012 Case Western Reserve [51] Ohio, USA 2013 Hefestos [52] Sao Leopoldo, Brazil 2013 Indian Institute of Technology [53] Jodhpur, India 2013 Institute of Engg. & Technology [54] Ghaziabad, India 2013 ATRII [55] Kansai, Japan 2013 Chonnam National University [56] Gwangju, S. Korea 2013 King Abdulaziz University [57] Jeddah, Saudi Arabia 2013 U. of Alabama, Huntsville [58] Alabama, USA 2013 U. of Texas, Arlington [59] Texas, USA 2013 B.M.S College of Engineering [60] Bangalore, India 2014 Kumamoto University [61] Kumamoto, Japan 2014 Saitama University [62] Saitama, Japan 2014 LURCH [63] Chennai, India 2014 Integral Rehabilitation Center [64] Orizaba, Mexico 2014 University of Kent [65] Canterbury UK 2014 University of Lorraine [8] Metz, France 2014 Uni.…”

Section: Description Locationmentioning

confidence: 99%

“…Cloud-based mobile devices [56] have been proposed for direct control of the SW, for remote monitoring, and to help serve as an emergency warning system. Brazil's Hefestos [52] has a user interface that communicates with the electric wheelchair firmware via integrated Android app. With it the user can control the wheelchairs' operation from widgets on the touch screen of the user's mobile device.…”

Section: Description Locationmentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Review of Smart Wheelchairs: Past, Present, and Future

Leaman

2017

IEEE Trans. Human-Mach. Syst.

164

View full text Add to dashboard Cite

Abstract-A smart wheelchair (SW) is a power wheelchair (PW) to which computers, sensors, and assistive technology are attached. In the past decade, there has been little effort to provide a systematic review of SW research. This paper aims to provide a complete state-of-the-art overview of SW research trends. We expect that the information gathered in this study will enhance awareness of the status of contemporary PW as well as SW technology, and increase the functional mobility of people who use PWs. We systematically present the international SW research effort, starting with an introduction to power wheelchairs and the communities they serve. Then we discuss in detail the SW and associated technological innovations with an emphasis on the most researched areas, generating the most interest for future research and development. We conclude with our vision for the future of SW research and how to best serve people with all types of disabilities.

show abstract

Section: Description Locationmentioning

confidence: 99%

Section: Description Locationmentioning

confidence: 99%

A Comprehensive Review of Smart Wheelchairs: Past, Present, and Future

Leaman

2017

IEEE Trans. Human-Mach. Syst.

164

View full text Add to dashboard Cite

show abstract

“…From ergonomics, autonomous system’s acceptability is not taken for granted as it depends on disability level. [ 13 ] have investigated the issue with more than 110 interviews with different actors from the handicap field. They concluded (1) that users are intolerant to new features considered as a substitution of their bodies.…”

Section: Introductionmentioning

confidence: 99%

A Muscular and Cerebral Physiological Indices Assessment for Stress Measuring during Virtual Wheelchair Guidance

Khelifa

Lamti²,

Hugel³

2021

Brain Sciences

View full text Add to dashboard Cite

The work presented in this manuscript has the purpose to assess the relationship between human factors and physiological indices. We discuss the relationship between stress as human factor and cerebral and muscular signals as features. Ten male paraplegic, right-handed subjects were volunteers for the experiment (mean age 34 ±6). They drove a virtual wheelchair in an indoor environment. They filled five missions where, in each one, an environmental parameter was changed. Meanwhile, they were equipped with Electromyography (EMG) sensors and Electroencephalography (EEG). Frequency and temporal features were filtered and extracted. Principal component analysis (PCA), Fisher’s tests, repeated measure Anova and post hoc Tukey test (α = 0.05) were implemented for statistics. Environmental modifications are subject to induce stress, which impacts muscular and cerebral activities. While the time pressure parameter was the most influent, the transition from static to moving obstacles (avatars), tends to have a significant impact on stress levels. However, adding more moving obstacles did not show any impact. A synchronization factor was noticed between cerebral and muscular features in higher stress levels. Further examination is needed to assess EEG reliability in these situations.

show abstract

“…However, severely disabled such as Locked-In patients, Amyotrophic Lateral Sclerosis ALS and tetraplegic... find it hardly possible (in some cases impossible) to command their wheelchairs using the aforementioned solutions either because it is not adapted to their needs or because they are forced to provide some extra workloads. 8 New trends introduced more generic modalities, among them brain-based ones.…”

Section: Introductionmentioning

confidence: 99%

Cerebral and gaze data fusion for wheelchair navigation enhancement: case of distracted users

Lamti¹,

Khelifa²,

Hugel³

2018

Robotica

View full text Add to dashboard Cite

SUMMARYThe goal of this paper is to present a new hybrid system based on the fusion of gaze data and Steady State Visual Evoked Potentials (SSVEP) not only to command a powered wheelchair, but also to account for users distraction levels (concentrated or distracted). For this purpose, a multi-layer perception neural network was set up in order to combine relevant gazing and blinking features from gaze sequence and brainwave features from occipital and parietal brain regions. The motivation behind this work is the shortages raised from the individual use of gaze-based and SSVEP-based wheelchair command techniques. The proposed framework is based on three main modules: a gaze module to select command and activate the flashing stimuli. An SSVEP module to validate the selected command. In parallel, a distraction level module estimates the intention of the user by mean of behavioral entropy and validates/inhibits the command accordingly. An experimental protocol was set up and the prototype was tested on five paraplegic subjects and compared with standard SSVEP and gaze-based systems. The results showed that the new framework performed better than conventional gaze-based and SSVEP-based systems. Navigation performance was assessed based on navigation time and obstacles collisions.

show abstract

A smart wheelchair based on ubiquitous computing

Cited by 6 publications

References 10 publications

A Comprehensive Review of Smart Wheelchairs: Past, Present, and Future

A Comprehensive Review of Smart Wheelchairs: Past, Present, and Future

A Muscular and Cerebral Physiological Indices Assessment for Stress Measuring during Virtual Wheelchair Guidance

Cerebral and gaze data fusion for wheelchair navigation enhancement: case of distracted users

Contact Info

Product

Resources

About