Sensory Feedback for Smart Prosthetics

Submitted by Dylan Losey on Fri, 03/20/2015 - 14:32

Though mechanical aspects of upper-limb prosthesis technology is rapidly advancing, these devices lack a sense of touch required for dexterous manipulation and exploring environments. We aim to address this concern by developing non-invasive technology to provide missing touch sensations in prosthetic limbs via sensory substitution with modular add-on devices separate from the prosthesis.

Project Status:

Active

Category:

Sensory Feedback for Smart Prosthetics

Submitted by Marcia O'Malley on Thu, 08/30/2012 - 13:47

Project Status:

Inactive

Category:

BMI Control of a Therapeutic Exoskeleton to Facilitate Personalized Robotic Rehabilitation of the Upper Limb

Submitted by Marcia O'Malley on Thu, 08/30/2012 - 13:41

Supported by NIH Award R01NS081854 under the National Robotics Initiative (NRI)

Project Status:

Inactive

Category:

Sensory Feedback for Smart Prosthetics

Submitted by Marcia O'Malley on Wed, 07/27/2011 - 09:18

Researchers aim for 'direct brain control' of prosthetic arms

Engineers work to design prosthetic arm that allows amputees to feel what they touch

http://www.media.rice.edu/media/NewsBot.asp?MODE=VIEW&ID=15983&SnID=1928...

Engineering researchers at four U.S. universities are embarking on a four-year project to design a prosthetic arm that amputees can control directly with their brains and that will allow them to feel what they touch. While it may sound like science fiction, the researchers say much of the technology has already been proven in small-scale demonstrations.

The research at Rice University, the University of Michigan, Drexel University and the University of Maryland is made possible by a $1.2 million grant from the National Science Foundation's Human-Centered Computing program.

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Touching reality: Bridging the user-researcher divide in upper-limb prosthetics

Submitted by Marcia O'Malley on Wed, 10/25/2023 - 13:04

J. D. Brown, Battaglia, E., Engdahl, S., Levay, G., Parks, A. C., Skinner, E., and O’Malley, M. K., “Touching reality: Bridging the user-researcher divide in upper-limb prosthetics”, Science Robotics, vol. 8, p. eadk9421, 2023.

MAHI lab has 2 papers in latest issue of IEEE Transactions on Haptics

Submitted by Marcia O'Malley on Thu, 09/21/2023 - 08:23

Research by Janelle Clark and Alix Macklin is featured.

Fluidically programmed wearable haptic textiles

Submitted by Marcia O'Malley on Wed, 08/30/2023 - 15:34

B. Jumet, Zook, Z. A., Yousaf, A., Rajappan, A., Xu, D., Yap, T. Faye, Fino, N., Liu, Z., O’Malley, M. K., and Preston, D. J., “Fluidically programmed wearable haptic textiles”, Device, p. 100059, 2023.

Evaluation of Robotic-Assisted Carotid Artery Stenting in a Virtual Model Using Motion-Based Performance Metrics

Submitted by Marcia O'Malley on Sun, 08/27/2023 - 11:12

P. T. Legeza, Lettenberger, A. B., Murali, B., Johnson, L. R., Berczeli, M., Byrne, M. D., Britz, G., O’Malley, M. K., and Lumsden, A. B., “Evaluation of Robotic-Assisted Carotid Artery Stenting in a Virtual Model Using Motion-Based Performance Metrics”, Journal of Endovascular Therapy, p. 15266028221125592, 2022.

Representational Similarity Analysis for Tracking Neural Correlates of Haptic Learning on a Multimodal Device

Submitted by Marcia O'Malley on Sun, 08/27/2023 - 11:10

A. S. Macklin, Yau, J. M., Fischer-Baum, S., and O'Malley, M. K., “Representational Similarity Analysis for Tracking Neural Correlates of Haptic Learning on a Multimodal Device”, IEEE Transactions on Haptics, vol. 16, pp. 424-435, 2023.

Explorations of wrist haptic feedback for AR/VR interactions with Tasbi

Submitted by Marcia O'Malley on Wed, 06/28/2023 - 11:26

E. Pezent, Gupta, A., Duhaime, H., O'Malley, M., Israr, A., Samad, M., Robinson, S., Agarwal, P., Benko, H., and Colonnese, N., “Explorations of wrist haptic feedback for AR/VR interactions with Tasbi”, Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology. 2022.

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