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A review of methods for achieving upper limb movement following spinal cord injury through hybrid muscle stimulation and robotic assistance

Learning the Correct Robot Trajectory in Real-Time from Physical Human Interactions

Design and Characterization of a Passive Instrumented Hand

Multi-Sensory Stimuli Improve Distinguishability of Cutaneous Haptic Cues

Rehabilitation Robotics and Functional Electrical Stimulation

291,000 people are currently living with SCI, and 60% of them have cervical level injuries leading to tetraplegia. Restoration of arm and hand function is a top priority for this population, and while some incomplete SCI patients benefit from rehab, many require assistance with activities of daily living (ADLs). Two commonly used rehabilitation/assistance techniques are rehabilitation robotics, and functional electrical stimulation (FES), but neither have proven to be effective for long-term functional assistance.

A Cutaneous Haptic Cue Characterization Testbed

A Cutaneous Haptic Cue Characterization Testbed

Multi-Sensory Haptic Perception

Multi-sensory haptic cues have the potential to transmit a wider variety of information in the same amount of time as single-sensory haptic cues. However, these cues also interfere with each other, causing them to feel less salient to users. As it is critical that the multisensory cues transmitted to a user are conspicuous, we use the AIMS Testbed to investigate the perception of multisensory haptic cues and how this perception changes when cues are modified.

Haptic Guidance and Training Using OpenWrist and CUFF

This research project focuses on delivering haptic guidance through cutaneous (skin stretch and squeeze) methods to help train people for new tasks. Haptic devices are tremendously useful for giving customized feedback during training. These devices can simulate forces associated with real-world tasks or provide guidance forces that help users to complete the task more effectively or accurately. It has been shown, however, that providing both task forces and guidance forces simultaneously through the same haptic interface can lead to confusion and worse performance.

Facebook Reality Labs

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Mechatronics and Haptic Interfaces Lab at Rice University

Mechanical Engineering Department, MS 656, 713-348-2300
Bioscience Research Collaborative 980, Houston, TX 77030