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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.

Event details of Modelling human activities for robot-assisted living
Date 30 November 2016
Time 12:00 -13:00
Location Agnietenkapel
Room Location

N. Hu: Human Activity Understanding for Robot-Assisted Living.

Supervisor

Prof. B.J.A. Kröse

Co-supervisor

Dr G. Englebienne

Agnietenkapel

Room Location

Oudezijds Voorburgwal 229 - 231
1012 EZ Amsterdam

Entrance

This event is open to the public.