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In this paper, we address natural human-robot interaction (HRI) in a smart assisted living (SAIL) system for the elderly and the disabled. Two common HRI problems are studied: hand gesture recognition and daily activity recognition. For hand gesture recognition, we implemented a neural network for gesture spotting and a hierarchical hidden Markov model for context-based recognition. For daily activity...
As robot assisted living is becoming increasingly important for elderly people, human daily activity recognition is necessary for human-robot interaction. In this paper, we proposed an approach to daily activity recognition for elderly people. This approach uses a single wearable inertial sensor worn on the right thigh of a human subject to collect motion data. This setup can reduce the obtrusiveness...
As robot assisted living is gaining more attentions for elderly care recently, automated human daily activity recognition becomes more important in human-robot interaction. In this paper, we proposed an approach to indoor human daily activity recognition which combines motion data and location information. One inertial sensor is worn on the right thigh of a human subject to collect motion data, while...
In this paper, we propose an online hand gesture recognition algorithm for a robot assisted living system. A neural network-based gesture spotting method is combined with the hierarchical hidden Markov model (HHMM) to recognize hand gestures. In the segmentation module, the neural network is used to determine whether the HHMM-based recognition module should be applied. In the recognition module, Bayesian...
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