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As aging society has grown in Japan, people with disabilities have also increased. However, there is very little number of people taking care of them. Thus, to reduce the burden of the caretaker, we proposed a meal assistant robot. With only a robot, we cannot know whether the user is in a safe state or not.  Because of that, when using this meal assistance robot, a system that can detect the user danger conditions such as aspiration and fall-down and report it to the caretaker was proposed. The detection of the danger conditions is carried out using an Android smartphone. Aspiration was detected from the shock due to the user’s cough, whereas the user’s fall-down state was detected by the change of the acceleration of gravity due to the turn of the device. With the proposed system, if any problem occurs to the user, the caretaker can handle it immediately. In this paper, experiments to measure the recognition rate of the danger state were performed to confirm the effectiveness of the proposed system.

Danger Conditions Detection by Using Acceleration Sensor in Smartphone