A new approach is presented for a personal health assistant for elderly people utilizing smartwatches. On the smartwatch, an app featuring an artificial neuronal net (ANN) analyzes the motion patterns of the smartwatch wearer. The ANN recognizes health relevant events and activities of daily living (EDLs, ADL). The system architecture of the app, the data acquisition process, the selection and design of suitable data models and the advantages of ANNs versus other recognition engines are elaborated. The characteristics of the recognized ADLs will be utilized for continuously calculating the well being of the smartwatch wearer, safeguarding a self-determined living in the familiar home up to the very old age.
Personal Health Assistance for Elderly People via Smartwatch Based Motion Analysis
- Aug 01, 2019-