The vast proliferation of sensor devices and Internet of Things enables the applications of
sensor-based activity recognition. However, there exist substantial challenges that could …

Sensor-based activity recognition seeks the profound high-level knowledge about human
activities from multitudes of low-level sensor readings. Conventional pattern recognition …

Object sensors are widely used for motion capture, particularly in sport motion analysis for
classification of strokes. In this paper, a comparative study was performed to examine the …

To create products that are better fit for purpose, manufacturers require new methods for
gaining insights into product experience in the wild at scale.“Chatty Factories” is a concept …

This paper discusses the place of radar for assisted living in the context of IoT for Health and
beyond. First, the context of assisted living and the urgency to address the problem is …

The field of human activity recognition (HAR) using different sensor modalities poses
numerous challenges to the researchers working in this domain. Though traditional pattern …

Human activity recognition, which recognizes human activities from time-series signals
collected by sensors, is an important task in human-centered intelligent systems such as in …

Wearable egocentric visual context detection raises privacy concerns and is rarely
personalized or on-device. We created a wearable system, called PAL, with on-device deep …

Activity recognition is the interest gaining research area, as the need for monitoring and
controlling the public and the society to ensure the detection of the suspects and the illegal …

We introduce a video-based system for concurrent activity recognition during teamwork in a
clinical setting. During system development, we preserved patient and provider privacy by …