Physical activity recognition using embedded sensors has enabled many context-aware
applications in different areas, such as healthcare. Initially, one or more dedicated wearable …

Human activity recognition (HAR) using inertial motion data has gained a lot of momentum
in recent years both in research and industrial applications. From the abstract perspective …

Recently, there has been a growing interest in the research community about using wrist-
worn devices, such as smartwatches for human activity recognition, since these devices are …

Fundamental challenges faced by real-time animal activity recognition include variation in
motion data due to changing sensor orientations, numerous features, and energy and …

This research on identification and classification of construction workers' activity contributes
to the monitoring and management of individuals. Since a single sensor cannot meet …

In this paper we discuss the design and evaluation of a mobile based tool to collect activity
data on a large scale. The current approach, based on an existing activity recognition …

The k NN machine learning method is widely used as a classifier in Human Activity
Recognition (HAR) systems. Although the k NN algorithm works similarly both online and in …

In this paper, we propose a novel energy-efficient approach for mobile activity recognition
system (ARS) to detect human activities. The proposed energy-efficient ARS, using low …

We present a survey of smartphone-based Transport Mode Detection (TMD). We categorize
TMD solutions into local and remote; the first ones are addressed in this article. A local …

The orientation and location of a mobile phone pose fundamental challenges to activity
recognition (AR) in a device. Given that AR significantly affects recognition accuracy, in this …