The advancement of an obstacle avoidance Bayesian neural network for an intelligent wheelchair

A Collision Avoidance Algorithm for Human Motion Prediction Based on Perceived Risk of Collision: Part 1-Model Development

OCCUPATIONAL APPLICATIONSDigital human models have been widely used in occupational biomechanics assessments to prevent potential injury risks, such as automotive assembly lines, box lifting, patient repositioning, and the mining industry. Motion prediction is one of the important capabilities in digital human models, and collision avoidance is involved in human motion prediction. We propose an algorithm that will ensure human motions are predicted realistically, and finally, use of this algorithm could help enhance the accuracy of injury risk assessments using digital human models.

Autonomy in Rehabilitation Robotics: An Intersection

Within the field of human rehabilitation, robotic machines are used both to rehabilitate the body and to perform functional tasks. Robotics autonomy able to perceive the external world and reason about high-level control decisions, however, seldom is present in these machines. For functional tasks in particular, autonomy could help to decrease the operational burden on the human and perhaps even to increase access-and this potential only grows as human motor impairments become more severe. There are however serious, and often subtle, considerations to introducing clinically-feasible robotics autonomy to rehabilitation robots and machines. Today the fields of robotics autonomy and rehabilitation robotics are largely separate. The topic of this article is at the intersection of these fields: the introduction of clinically-feasible autonomy solutions to rehabilitation robots, and opportunities for autonomy within the rehabilitation domain.

A telepresence wheelchair using cellular network infrastructure in outdoor environments

Mobile wireless network technology has grown rapidly over the past decade with emerging applications and services. Particularly, the fourth generation (4G) cellular network has acted as a bridge between telecommunication technology and daily life applications. In this paper, we present an investigation into a telepresence wheelchair in outdoor environments employing cellular network infrastructure instead of using local wireless networks in indoor environments. Experiments were carried out to demonstrate remote interaction and control from a long distance and across countries. A large amount of communication data based on real network measurements was collected and analyzed to evaluate the system performance. The experimental results show that a wheelchair system can be controlled remotely in real-time with the acceptable round trip time of less than 400 ms. The results reveal the feasibility of using the 4G network for a telepresence wheelchair in healthcare applications.