This paper describes experiments with a game device that was used for early detection of delays in motor skill development in primary school children. Children play a game by bi-manual manipulation of the device which continuously collects ac- celerometer data and game state data. Features of the data …

Ageing is associated with a decline in daily functioning and mobility. A physically active life and physical exercise can minimize the decline of daily functioning and improve the physical-, psychological- and social functioning of older adults. Despite several advantages of group-based exercise programs, …

Human activity recognition system is of great importance in robot-care scenarios. Typically, training such a system requires activity labels to be both completely and accurately annotated. In this paper, we go beyond such restriction and propose a learning method that allow labels to be incomplete and …

Urban environments are full of noise and obstacles, and therefore potentially dangerous and difficult to navigate for the visually impaired. Using Bluetooth beacons and a smartphone app we guide them through these environments by providing the information needed for that specific location. We present …

PURPOSE: The early detection of a decline in daily functioning of independently living older people can aid health care professionals in providing preventive interventions. To monitor daily activity patterns and, thereby detect a decline in daily functioning, new technologies, such as sensors can be …

In deze presentatie wordt de ontwikkeling van een evidence-based en gepersonaliseerde hardloop-app in kaart gebracht, genaamd InteliRun. Er werd een pilot georganiseerd waarin 26 hardlopers de app hebben getest. Middels een vragenlijst en focusgroepen werd in kaart gebracht wat gebruiksvriendelijkheid …

Sensor systems can be deployed in the homes of older adults living alone for functional health assessments. Their information is very useful for health care specialists. The problem lies in developing person independent models while facing a large variability in behavior. We address this problem by, …

This paper presents a study of sensor data from a person who developed Alzheimer’s disease during a 4-year monitoring period and who is monitored with simple ambient sensors in her home. Our aim is to find data analysis methods that reveal relevant changes in the sensor pattern that occur before the …