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Phase-Synchronized Assistive Torque Control for the Correction of Kinematic Anomalies in the Gait Cycle
Gait anomalies give rise to several clinical problems in stroke survivors, which restrict their functional mobility and have a negative impact on their quality of life. Robotics-aided gait training post-stroke has proven capable of improving patients’ functional walking, but so far it has not performed significantly better than conventional therapy.
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EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training
Drowsy driving is pervasive, and also a major cause of traffic accidents. Estimating a driver’s drowsiness level by monitoring the electroencephalogram (EEG) signal and taking preventative actions accordingly may improve driving safety.
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Academic Review and Perspectives on Robotic Exoskeletons
Since the first robotic exoskeleton was developed in 1960, this research field has attracted much interest from both the academic and industrial communities resulting in scientific publications, prototype developments and commercialized products. In this article, to document the progress in and current status of this field, we performed a bibliometric analysis. This analysis evaluated the publications in the field of robotic exoskeletons from 1990 to July 2019 that were retrieved from the Science Citation Index Expanded database
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A Robust Encoding Scheme for Delivering Artificial Sensory Information via Direct Brain Stimulation
Innovations for creating somatosensation via direct electrical stimulation of the brain will be required for the next generation of bi-directional cortical neuroprostheses. The current lack of tactile perception and proprioceptive input likely imposes a fundamental limit on speed and accuracy of brain-controlled prostheses or re-animated limbs.
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Development of a Virtual Floor Maze Test – Effects of Distal Visual Cues and Correlations With Executive Function in Healthy Adults
Virtual reality (VR) is a useful tool to assess and improve spatial navigation, a complex skill and relevant marker for progression of dementia. A fully-immersive VR system that allows the user to physically navigate in the space can provide an ecologically valid environment for early detection and remediation of cognitive and navigational deficits.
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A Modular Transradial Bypass Socket for Surface Myoelectric Prosthetic Control in Non-Amputees
Bypass sockets allow researchers to perform tests of prosthetic systems from the prosthetic user’s perspective. We designed a modular upper-limb bypass socket with 3D-printed components that can be easily modified for use with a variety of terminal devices.
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Application of a Novel Force-Field to Manipulate the Relationship Between Pelvis Motion and Step Width in Human Walking
Motion of the pelvis throughout a step predicts step width during human walking. This behavior is often considered an important component of ensuring bipedal stability, but can be disrupted in populations with neurological injuries.
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Unsupervised Common Spatial Patterns
The common spatial pattern (CSP) method is a dimensionality reduction technique widely used in brain-computer interface (BCI) systems. In the two-class CSP problem, training data are linearly projected onto directions maximizing or minimizing the variance ratio between the two classes.
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A Heuristic Approach to Overcome Architectural Barriers Using a Robotic Wheelchair
The Mobility Enhancement roBotic (MEBot) wheelchair was developed to improve the safety and accessibility of wheelchair users when facing architectural barriers. MEBot uses pneumatic actuators attached to its frame and six wheels to provide curb ascending/descending for heights up to 20.3 cm.
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Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine Interfaces
Neuroprosthesis enables the brain control on the external devices purely using neural activity for paralyzed people. Supervised learning decoders recalibrate or re-fit the discrepancy between the desired target and decoder’s output, where the correction may over-dominate the user’s intention.