Participatory data collection relies on the commitment of the participants to report data continuously, which makes providing incentives to people crucial. In this case study, we describe how we designed a web app by using different incentive mechanisms to collect participatory data for monitoring community …

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, …

The performance of human-robot collaboration tasks can be improved by incorporating predictions of the human collaborator's movement intentions. These predictions allow a collaborative robot to both provide appropriate assistance and plan its own motion so it does not interfere with the human. In the …

We demonstrate a method that allows two users to communicate remotely using their sense of touch by dynamically applying vibrotactile feedback to one user's forearm using two different input methods. User input on a standard mobile touch-screen device or a purpose-built touch-sensitive wearable is analyzed …

BACKGROUND: ICT based solutions are increasingly introduced for active and healthy ageing. In this context continuous monitoring of older adults with domestic sensor systems has been suggested to provide important information about their functional health. However, there is not yet a solid model for …

Methode : Op basis van gedragsveranderingstheoriëen is een smartphone app ontwikkeld. De app motiveert de gebruiker om te bewegen (wandelen, hardlopen) door het ondersteunen bij het stellen van doelen [1], het aanbieden van locatie specifieke instructionele-(beweeginstructies in video) en motivationele-feedback …

We present a novel hierarchical model for human activity recognition. In contrast with approaches that successively recognize actions and activities, our approach jointly models actions and activities in a unified framework, and their labels are simultaneously predicted. The model is embedded with a …

In this paper, we address the problem of people detection and tracking in crowded scenes using range cameras. We propose a new method for people detection and localisation based on the combination of background modelling and template matching. The method uses an adaptive background model in the range …