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Instead of traditional actuators, tube-type dielectric elastomer actuators (DEAs) based parallel link mechanism is proposed in this research. As an application case, the mechanism fixed with a marker pen is used to implement one stroke draw and human like draw of alphabets. According to the prototype of this mechanism, kinematics and inverse kinematics problems are solved. The numerical simulation...
A robust and compact human motion model is desirable in many security applications from public facilities to personal devices. Shape features are extracted from the perspective of computer vision in most researches. However, most of them are application-dependent. In order to explore more dynamical features of human motion and to make the human model adaptable to the varying environments, a new robust...
Gait recognition is a promising non-intrusive biometric method. By using kinematical cues, a new gait recognition model which synthesizes dynamic model and statistical model is proposed. The proposed model allows us to establish security applications without the aids of shape cues deriving from marker-dependent motion capture cameras, for it only exploits low-dimensional kinematical cues. Angular...
This paper presents a construction strategy of Bayesian Network (BN) structures in decentralized fault diagnosis of event-driven systems based on probabilistic inference. In the proposed decentralized diagnosis method, a fault is identified using the BN and Timed Markov Model (TMM). The BN represents the causal relation between the faults and the observed event sequences in subsystems, and the structure...
A robust and compact gait model is desirable in many security applications because gait recognition is a promising non-intrusive biometric method. Only a few gait recognition systems adopted kinematical cues exclusively, but the dynamics model of parametric human body, including mass, length, inertia are seldom considered thoroughly. Furthermore, almost all these cues are velocity-dependent. The proposed...
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