Cognitive and Physiological Intent for the Adaptation of Motor Prostheses

Nataraj, Raviraj; Sanford, Sean; Liu, Mingxiao; Walsh, Kathryn; Wilder, Samuel; Santo, Anthony; Hollinger, David

doi:10.1007/978-3-030-38740-2_8

Cited by 2 publications

(3 citation statements)

References 123 publications

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“…This study suggested greater sensitivity of time-perception bindings, compared to explicit agency, to altering computerized control modes with both hands. These findings for the non-dominant hand similarly follow those for the dominant hand in this study and previous ones performing reach and force grasp tasks ( Nataraj, 2020 ; Nataraj et al, 2020b; Nataraj & Sanford, 2021 ). However, limitations in our measurement of explicit agency, including a single measurement per block, leave the potential effectiveness of explicit agency measures in our protocol uncertain.…”

Section: Discussionsupporting

confidence: 92%

“…Furthermore, tuning a human-computer interface to better couple (relatively bind) their actions to observed consequences is beneficial if it improves functional performance (Nataraj et al, 2020b). Our previous work has specifically demonstrated the positive relationship between time-perception measures for binding and performance of functional reach (Nataraj et al, 2020a; Nataraj et al, 2020b) and grasp ( Nataraj, 2020 ) with computerized interfaces. Virtual reality is well suited for tracking these metrics and developing rehabilitation protocols that systematically vary and integrate sensory cues for cognitively-inspired movement training ( Moore & Fletcher, 2012 ).…”

Section: Introductionmentioning

confidence: 95%

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Hand dominance in the performance and perceptions of virtual reach control

et al. 2022

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 95%

Hand dominance in the performance and perceptions of virtual reach control

et al. 2022

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“…Improved motor control may be enacted from training the person to move better independently or with the assistance of a powered device. Regardless of the rehabilitation approach, the person should be cognitively engaged and integrated with the therapeutic platform or the assistive device ( Moore and Fletcher, 2012 ; Nataraj, 2017 ; Nataraj et al, 2020a , b , c ). Improved perception of involvement and control of movement should better ensure continued participation and positive functional outcomes ( Doyle, 2002 ; Behrman et al, 2005 ).…”

Section: Introductionmentioning

confidence: 99%

Control Modification of Grasp Force Covaries Agency and Performance on Rigid and Compliant Surfaces

Nataraj

Sanford

2021

Front. Bioeng. Biotechnol.

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This study investigated how modifications in the display of a computer trace under user control of grasp forces can co-modulate agency (perception of control) and performance of grasp on rigid and compliant surfaces. We observed positive correlation (p < 0.01) between implicit agency, measured from time-interval estimation for intentional binding, and grasp performance, measured by force-tracking error, across varying control modes for each surface type. The implications of this work are design directives for cognition-centered device interfaces for rehabilitation of grasp after neurotraumas such as spinal cord and brain injuries while considering if grasp interaction is rigid or compliant. These device interfaces should increase user integration to virtual reality training and powered assistive devices such as exoskeletons and prostheses. The modifications in control modes for this study included changes in force magnitude, addition of mild noise, and a measure of automation. Significant differences (p < 0.001) were observed for each surface type across control modes with metrics for implicit agency, performance, and grasp control efficiency. Explicit agency, measured from user survey responses, did not exhibit significant variations in this study, suggesting implicit measures of agency are needed for identifying co-modulation with grasp performance. Grasp on the compliant surface resulted in greater dependence of performance on agency and increases in agency and performance with the addition of mild noise. Noise in conjunction with perceived freedom at a flexible surface may have amplified visual feedback responses. Introducing automation in control decreased agency and performance for both surfaces, suggesting the value in continuous user control of grasp. In conclusion, agency and performance of grasp can be co-modulated across varying modes of control, especially for compliant grasp actions. Future studies should consider reliable measures of implicit agency, including physiological recordings, to automatically adapt rehabilitation interfaces for better cognitive engagement and to accelerate functional outcomes.

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Cognitive and Physiological Intent for the Adaptation of Motor Prostheses

Cited by 2 publications

References 123 publications

Hand dominance in the performance and perceptions of virtual reach control

Hand dominance in the performance and perceptions of virtual reach control

Control Modification of Grasp Force Covaries Agency and Performance on Rigid and Compliant Surfaces

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