Global aging is set to result in a shortage in caregivers and companion robots can help alleviate this problem. Robots can be deployed continuously at home, providing daily assistance, keeping watch and relaying alarms in case of accidents. This requires robots to be able to sense, perceive and understand human activities. In his research, Ninhang Hu explores how novel machine learning methods can be used to model human activities, so the activities can be inferred and predicted automatically using data from sensors on the robot, in overhead cameras on the ceiling and small unobtrusive binary sensors in the living environment.
N. Hu: Human Activity Understanding for Robot-Assisted Living.
Prof. B.J.A. Kröse
Dr G. Englebienne
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