%0 Conference Proceedings %B IEEE Engineering in Medicine and Biology Conference %D 2013 %T Reconstructing Surface EMG from Scalp EEG during Myoelectric Control of a Closed Looped Prosthetic Device %A Andrew Y. Paek %A Jeremy D. Brown %A R. B. Gillespie %A Marcia K. O'Malley %A Patricia A. Shewokis %A Jose L. Contreras-Vidal %B IEEE Engineering in Medicine and Biology Conference %G eng %> https://mahilab.rice.edu/sites/default/files/publications/Paek%20EMBC%202013.pdf %0 Conference Proceedings %B International Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems and the Fifth Joint World Haptics Conference (HAPTICS) %D 2013 %T Understanding the Role of Haptic Feedback in a Teleoperated Grasp and Lift Task %A Jeremy D. Brown %A Andrew Paek %A Mashaal Syed %A Marcia K. O'Malley %A Patricia Shewokis %A Jose L. Contreras-Vidal %A R. B. Gillespie %X

Achieving dexterous volitional control of an upper-limb prosthetic device will require multimodal sensory feedback that goes beyond vision. Haptic display is well-positioned to provide this additional sensory information. Haptic display, however, includes a diverse set of modalities that encode information differently. We have begun to make a comparison between two of these modalities, force feedback spanning the elbow, and amplitude-modulated vibrotactile feedback, based on performance in a functional grasp and lift task. In randomly ordered trials, we assessed the performance of N=11 participants (8 able-bodied, 3 amputee) attempting to grasp and lift an object using an EMG controlled gripper under three feedback conditions (no feedback, vibrotactile feedback, and force feed-back), and two object weights that were undetectable by vision. Preliminary results indicate differences between able-bodied and amputee participants in coordination of grasp and lift forces. In addition, both force feedback and vibrotactile feedback contribute to significantly better task performance (fewer slips) and better adaptation following an unpredicted weight change. This suggests that the development and utilization of internal models for predictive control is more intuitive in the presence of haptic feedback.

%B International Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems and the Fifth Joint World Haptics Conference (HAPTICS) %P 271-276 %8 04/2013 %G eng %> https://mahilab.rice.edu/sites/default/files/publications/WH2013_FINAL_PRESS_Brown_et_al.pdf