Wee-Hong Ong

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Human activity recognition is an important ability in any system that supports human in performing their daily activities. However, current supervised approach in human activity recognition is difficult to be deployed in the natural human living environment where labeled observations are scarce. In this paper, we demonstrate the use of K-means clustering(More)
Human activity recognition is an important functionality in any intelligent system designed to support human daily activities. While majority of human activity recognition systems use supervised learning, these systems lack the ability to detect new activities by themselves. In this paper, we report the results of our investigation of unsupervised human(More)
The functionality of a robot greatly depends on its sensory capability. Adding sensors to a robot is one major strategy to extend the robot's function and intelligence. However, this strategy can only be effective if the performance of the sensors meet the requirements of the robot application. In particular, in many systems, it is crucial for the sensors(More)
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