One the best qualitative and quantitative tools that elder–care specialists have to monitor the
health of elderly individuals is Activity of Daily Living (ADL) tracking [1, 2]. By watching the …

Recent work demonstrates the potential for extracting patterns from users' behavior as
detected by sensors. Since there is currently no generalized framework for reasoning about …

In this article, we introduce activity-aware computing, which uses activity-based computing to
enhance pervasive environments in two ways: to help users associate resources and …

Implicit human computer interaction is based on the concept of using user activity in the real
world as input to computers. Implicit HCI can help to reduce the problem of user input to …

We explore a dense sensing approach that uses RFID sensor network technology to
recognize human activities. In our setting, everyday objects are instrumented with UHF RFID …

This Works in Progress department discusses eight projects related to healthcare. The first
project aims to aid people with mild dementia. The second project plans to simplify the …

In this work we propose a novel method to recognize daily routines as a probabilistic
combination of activity patterns. The use of topic models enables the automatic discovery of …

Many recent studies have underscored the applicability to healthcare of a system able to
observe and understand day-to-day human activities. The Guide project is aimed at building …

This paper addresses the problem of capturing rich, long-term personal activity logs of users'
interactions with their workstations, for the purpose of deriving predictive, personal user …

The integration of RFID sensors into everyday products has become a widespread solution
for increasing efficiency in supply chain management. This has also led to a way of being …