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Human activity recognition

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2022
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
  +4 more sources

Recognizing Physical Activities for Spinal Cord Injury Rehabilitation Using Wearable Sensors

open access: yesSensors, 2021
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
doaj   +1 more source

Active learning enabled activity recognition [PDF]

open access: yesPervasive and Mobile Computing, 2016
© 2016 IEEE, 2016 IEEE International Conference on Pervasive Computing and Communications (PerCom)
Hossain, H M Sajjad   +2 more
openaire   +1 more source

Optimizing Sensor Position with Virtual Sensors in Human Activity Recognition System Design

open access: yesSensors, 2021
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
doaj   +1 more source

Analyzing Sensor-Based Individual and Population Behavior Patterns via Inverse Reinforcement Learning

open access: yesSensors, 2020
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
doaj   +1 more source

Periodic Physical Activity Information Segmentation, Counting and Recognition From Video

open access: yesIEEE Access, 2023
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
doaj   +1 more source

A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition

open access: yesSensors, 2020
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
doaj   +1 more source

Designing a Computer-Vision Application: A Case Study for Hand-Hygiene Assessment in an Open-Room Environment

open access: yesJournal of Imaging, 2021
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
doaj   +1 more source

A Hierarchical Approach to Activity Recognition and Fall Detection Using Wavelets and Adaptive Pooling

open access: yesSensors, 2021
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
doaj   +1 more source

DOLARS, a Distributed On-Line Activity Recognition System by Means of Heterogeneous Sensors in Real-Life Deployments—A Case Study in the Smart Lab of The University of Almería

open access: yesSensors, 2021
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
doaj   +1 more source

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