Nowadays, the need of motion capture of an athlete’s movement be among the most significance studies in sport performance analysis. The motion capture involves the use of sensing technology to track and store the movement. Thus, this review was done to present the studies on motion capture of the upper limbs movement in throwing events of the track and field sport. The databases were collected throughout the electronic media such as the Google Scholar, ScienceDirect, and Scopus. From literature, it was found that IMUs technology is not widely used in motion capture for upper limbs movement in throwing events. However, this device has a huge benefit to improvise the athlete’s performances as well as their skills and techniques.
The power wheelchair is an important and convenient mobility device. The demand of power wheelchair is increasing for assistance in mobility. In this paper we proposed a robotic wheelchair for mobility aid to reduce the burden from the disabled and can monitors human bio-sensors. The main issue in an autonomous wheelchair is the automatic detection and avoidance of obstacles and going to the pre-designated place. The proposed algorithm detects the obstacles and avoids them to drive the wheelchair to the desired place safely with panning scan from sensors of distance measurement and monitors human bio-sensor for users. By this way, the disabled will not always have to worry about paying deep attention to the surroundings and his path.
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