BACKGROUND: In a real working environment, workers' performance depends on the level of competence, psychological and health condition, motivation, and perceived stress. These are the attributes of actual availability. It is crucial to identify the m...
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Knowledge of the level of mental workload induced by any task is essential for optimizing load share among the operators. This helps in assessing their capability; besides, helping in task allocation. Since a persistently high workload experienced by...
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jun 1, 2019
Shared-control for assistive devices can increase the independence of individuals with motor impairments. However, each person is unique in their level of injury and physical constraints. Consequently, a plethora of interfaces are used to control the...
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jun 1, 2019
Assistive robots have the potential to support people with disabilities in their Activities of Daily Life. The drinking task has a high priority and requires constant assistance by caregivers to be executed regularly. Due to incapacitating disabiliti...
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jun 1, 2019
Occupational rehabilitation is an integral part of the recovery process for workers who have sustained injuries at the workplace. It often requires the injured worker to engage in functional tasks that simulate the workplace environment to help regai...
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jun 1, 2019
Individuals suffering from quadriplegia can achieve increased independence by using an assistive robotic manipulator (ARM). However, due to their disability, the interfaces that can be used to operate such devices become limited. A versatile intraora...
Semi-supervised learning refers to learning that occurs when feedback about performance is provided on only a subset of training trials. Algorithms for semi-supervised learning are popular in machine learning because of their minimal reliance on labe...
OBJECTIVE: To explore the direct influence of a soft-robotic glove on movement duration and movement execution in elderly people with decreased hand function during a reach-and-grasp task.
Existing event detection algorithms for eye-movement data almost exclusively rely on thresholding one or more hand-crafted signal features, each computed from the stream of raw gaze data. Moreover, this thresholding is largely left for the end user. ...
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