The high sensor performance was translated into function device development, in terms of human motion sensing and an electrical switch.
It also functions as a new platform for the development of advanced shot-put athletes training and coaching system and for the research of human motion modeling.
Learning silhouette features for control of human motion.
Models of human motion: Tracking, learning, and animating people.
Improved measurement of human motion, using an optical motion capture system or a depth sensor, allows robots to recognize human actions from superficial motion data, such as camera images containing human actions or positions of human bodies.
His work includes the development of potential fields for control, the operational space control framework, whole body multi-contact control with prioritized null spaces, elastic planning, articulated body dynamic simulation, haptic rendering, and biomechanics based analysis of human motion.
Figure 4 Sparsity analysis of human motion.
Intensive research on imitation learning of human motions has been performed for the robots that can recognize human activity and synthesize human-like motions, and this research is subsequently extended to integration of motions and language.
First, we discuss the influence of our human motion features.
Although human biological motion involved more complex movements than non-biological motion, both the form (the configuration of dots) and motion information of human biological motion were changed from medaka biological motion.
