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 …

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 …

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 …

Voor mensen met dementie en hun (in)formele zorgverleners is er een enorme keuze aan producten, services en diensten om zo lang mogelijk zelfstandig te blijven, dat aanbod groeit met de dag. Echter, in praktijk sluiten vraag en aanbod niet naadloos op elkaar aan. Komt dat omdat het aanbod moeilijk te …

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 …

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 …