The design of an activity recognition and monitoring system based on the eWatch, multi-sensor platform worn on different body positions, is presented in this paper. The system ide...
Uwe Maurer, Asim Smailagic, Daniel P. Siewiorek, M...
We propose a method for human full-body pose tracking from measurements of wearable inertial sensors. Since the data provided by such sensors is sparse, noisy and often ambiguous, ...
Abstract—Monitoring human movements using wireless sensory devices promises to revolutionize the delivery of healthcare services. Such platforms use inertial information of their...
Hassan Ghasemzadeh, Vitali Loseu, Sarah Ostadabbas...
In this paper, we describe a physical activity classification system using a body sensor network (BSN) consisting of costsensitive tri-axial accelerometers. We focus on workspace...
Natali Ruchansky, Claire Lochner, Elizabeth Do, Tr...
Abstract. We propose a novel model-based approach to activity recognition using high-level primitives that are derived from a human body model estimated from sensor data. Using sho...