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Abstract: Human Activity Recognition (HAR) is one of the active research areas in computer vision as well as human computer interaction. However, it remains a very complex task, due to unresolvable challenges such as sensor motion, sensor placement, cluttered background, and inherent variability in the way activities are conducted by different humans ...
Morsing, Lukas Hedegaard +2 more
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Recognizing Physical Activities for Spinal Cord Injury Rehabilitation Using Wearable Sensors
The research area of activity recognition is fast growing with diverse applications. However, advances in this field have not yet been used to monitor the rehabilitation of individuals with spinal cord injury.
Nora Alhammad, Hmood Al-Dossari
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Active learning enabled activity recognition [PDF]
© 2016 IEEE, 2016 IEEE International Conference on Pervasive Computing and Communications (PerCom)
Hossain, H M Sajjad +2 more
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Optimizing Sensor Position with Virtual Sensors in Human Activity Recognition System Design
Human activity recognition (HAR) systems combined with machine learning normally serve users based on a fixed sensor position interface. Variations in the installing position will alter the performance of the recognition and will require a new training ...
Chengshuo Xia, Yuta Sugiura
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Digital markers of behavior can be continuously created, in everyday settings, using time series data collected by ambient sensors. The goal of this work was to perform individual- and population-level behavior analysis from such time series sensor data.
Beiyu Lin, Diane J. Cook
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Periodic Physical Activity Information Segmentation, Counting and Recognition From Video
The research on complex human body motion including sports and workout activity recognition is a major challenge and long-lasting problem for the computer vision community.
Sheng-Hsien Cheng +4 more
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A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition
Human activity recognition has become an important research topic within the field of pervasive computing, ambient assistive living (AAL), robotics, health-care monitoring, and many more.
Keshav Thapa +3 more
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Hand-hygiene is a critical component for safe food handling. In this paper, we apply an iterative engineering process to design a hand-hygiene action detection system to improve food-handling safety.
Chengzhang Zhong +3 more
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Human activity recognition has been a key study topic in the development of cyber physical systems and assisted living applications. In particular, inertial sensor based systems have become increasingly popular because they do not restrict users ...
Abbas Shah Syed +3 more
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Activity Recognition (AR) is an active research topic focused on detecting human actions and behaviours in smart environments. In this work, we present the on-line activity recognition platform DOLARS (Distributed On-line Activity Recognition System ...
Marcos Lupión +3 more
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