Speed–accuracy trade-offs in myocontrol

Fimbel, Eric; Lemay, Martin; Arguin, Martin

doi:10.1016/j.humov.2005.12.001

Cited by 16 publications

(16 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Future studies should evaluate the suggested method in relation to activities of daily living and through more standardized assessment methods [23] including e.g. assessment of throughput [21, 24] and the path efficiency [25]. …”

Section: Resultsmentioning

confidence: 99%

Wireless intraoral tongue control of an assistive robotic arm for individuals with tetraplegia

Struijk

Egsgaard

Lontis

et al. 2017

J NeuroEngineering Rehabil

View full text Add to dashboard Cite

BackgroundFor an individual with tetraplegia assistive robotic arms provide a potentially invaluable opportunity for rehabilitation. However, there is a lack of available control methods to allow these individuals to fully control the assistive arms.MethodsHere we show that it is possible for an individual with tetraplegia to use the tongue to fully control all 14 movements of an assistive robotic arm in a three dimensional space using a wireless intraoral control system, thus allowing for numerous activities of daily living. We developed a tongue-based robotic control method incorporating a multi-sensor inductive tongue interface. One abled-bodied individual and one individual with tetraplegia performed a proof of concept study by controlling the robot with their tongue using direct actuator control and endpoint control, respectively.ResultsAfter 30 min of training, the able-bodied experimental participant tongue controlled the assistive robot to pick up a roll of tape in 80% of the attempts. Further, the individual with tetraplegia succeeded in fully tongue controlling the assistive robot to reach for and touch a roll of tape in 100% of the attempts and to pick up the roll in 50% of the attempts. Furthermore, she controlled the robot to grasp a bottle of water and pour its contents into a cup; her first functional action in 19 years.ConclusionTo our knowledge, this is the first time that an individual with tetraplegia has been able to fully control an assistive robotic arm using a wireless intraoral tongue interface. The tongue interface used to control the robot is currently available for control of computers and of powered wheelchairs, and the robot employed in this study is also commercially available. Therefore, the presented results may translate into available solutions within reasonable time.

show abstract

Section: Resultsmentioning

confidence: 99%

Wireless intraoral tongue control of an assistive robotic arm for individuals with tetraplegia

Struijk

Egsgaard

Lontis

et al. 2017

J NeuroEngineering Rehabil

View full text Add to dashboard Cite

show abstract

“…20 By using EMG signal from the finger and eyebrows, Fimbel et al analyzed EMG-based motor control based on Fitts' law. 21 They evaluated the control ability of the EMG signal through the direct and numerical comparison with the resulting human action. This paper is organized as follows: Section 2 illustrates the procedure of experiments, and Section 3 describes the Fitts' law analysis of myocontrol and force control.…”

Section: Comparison Of Myocontrol and Force Control Based On Fitts' Lmentioning

confidence: 99%

Comparison of myocontrol and force control based on fitts’ law model

Park

Kim

Chung

et al. 2011

Int. J. Precis. Eng. Manuf.

View full text Add to dashboard Cite

“…The present study is the second part of an experiment which was conducted with young participants [9]. In the first part of the experiment, the tasks were performed by two groups of participants, each group using a different electrode placement: forehead (above the eyebrow) or hand (thenar eminence).…”

Section: Methodsmentioning

confidence: 99%

“…A study conducted with young healthy participants [9] documented differences between myo- and motor control. Participants had to reach some determined myoelectric amplitude under visual guidance by means of a fast muscular contraction.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Myocontrol in Aging

Fimbel

Arguin

2007

PLoS ONE

Self Cite

View full text Add to dashboard Cite

Myoelectric (EMG) signals are used in assistive technology for prostheses, computer and domestic control. An experimental study previously conducted with young participants was replicated with elderly persons in order to assess the effect of age on the ability to control myoelectric amplitude (or myocontrol). Participants performed pointing tasks as the myoelectric amplitude was captured by a surface electrode in two modalities (sustained: stabilize the amplitude after reaching the desired level; impulsion: return immediately to resting amplitude). There was a significant decrease of performance with Age. However, the patterns of performance of young and aged were noticeably similar. The Impulsion modality was difficult (high rates of failure) and the speed-accuracy trade-offs predicted by Fitts' law were absent (bow-shaped patterns as function of target amplitude instead of logarithmic increase). Conversely, the reach phase of the Sustained modality followed the predictions of Fitts' law. However, the slope of the regression line with Fitts' index of difficulty was quite steeper in aged than in young participants. These findings suggest that 1) all participants, young and aged, adapt their reaching strategies to the anticipated state (sustained amplitude or not) and/or to the difficulty of the task, 2) myocontrol in aged persons is more fragile, i.e., performance is markedly degraded as the difficulty of the task increases. However, when individual performance was examined, some aged individuals were found to perform as well as the young participants, congruently with the literature on good aging.

show abstract

Speed–accuracy trade-offs in myocontrol

Cited by 16 publications

References 45 publications

Wireless intraoral tongue control of an assistive robotic arm for individuals with tetraplegia

Wireless intraoral tongue control of an assistive robotic arm for individuals with tetraplegia

Comparison of myocontrol and force control based on fitts’ law model

Myocontrol in Aging

Contact Info

Product

Resources

About