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Body sensor networks (BSNs) have been increasingly used in medical applications such as exoskeleton control, powered prosthesis control, tremor suppression, gesture and sign language recognition systems, and human computer interfaces. This review explores the use of multi-modal sensor fusion in BSNs for the detection, measurement and classification of upper limb for the control of dynamic systems...
The JPL BioSleeve is a wearable gesture-based human interface for natural robot control. Activity of the user's hand and arm is monitored via surface electromyography sensors and an inertial measurement unit that are embedded in a forearm sleeve. Gesture recognition software then decodes the sensor signals, classifies gesture type, and maps the result to output commands to be sent to a robot. The...
In recent years of the field of robotics, various methods are developed for intimate relationship between people and robot. These methods include speech recognition as well as gesture-based interaction. This paper proposes a system that controls a mobile robot by recognizing the user gesture. The proposed system applies hidden Markov model (HMM) using inertial measurement unit and a single electromyography...
In this paper, we describe a human gesture recognition system developed to make a humanoid robot understand non-verbal human social behaviors, and we present the results of preliminary experiments to demonstrate the feasibility of the proposed method. In particular, we have focused on the detection and recognition of laughter, a very peculiar human social signal. In fact, although it is a direct form...
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