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A Review on Video-Based Human Activity Recognition

Computers, 2013
This review article surveys extensively the current progresses made toward video-based human activity recognition. Three aspects for human activity recognition are addressed including core technology, human activity recognition systems, and applications ...
Shian-Ru Ke, Hoang Le Uyen Thuc, Yong-Jin Lee, Jenq-Neng Hwang, Jang-Hee Yoo, Kyoung-Ho Choi   +5 more
doaj   +3 more sources

MediaPipe with GNN for Human Activity Recognition [PDF]

Journal of Universal Computer Science
Human interaction and computer vision converge in the realm of Human Activity Recognition (HAR), which is a research field dedicated to the creation of automated systems capable of observing and categorizing human activities.
Nozha Jlidi, Sameh Kouni, Olfa Jemai, Tahani Bouchrika   +3 more
doaj   +4 more sources

Human Activity Recognition: literature Review [PDF]

مجلة التربية والعلم, 2021
: Human activity recognition has an important role in the interaction between human and human relationships because it provides information about a person's identity, personality, activities, psychological state, and health, all this information is ...
mais irreem atheed, Dena Ahmed, Rashad Kamal   +2 more
doaj   +1 more source

Human activity recognition

International Journal of Scientific Research in Science, Engineering and Technology, 2022
The human activity monitoring system helps to differentiate a person's physical actions such as walking, clapping, shaking hands etc. Activity awareness is the foundation for the development of many potential applications for health, wellness and sports. HAR has a variety of uses because of its impact on health.
Morsing, Lukas Hedegaard, Heidari, Negar, Iosifidis, Alexandros   +2 more
  +4 more sources

Confidence-Calibrated Human Activity Recognition

Sensors, 2021
Wearable sensors are widely used in activity recognition (AR) tasks with broad applicability in health and well-being, sports, geriatric care, etc. Deep learning (DL) has been at the forefront of progress in activity classification with wearable sensors.
Debaditya Roy, Sarunas Girdzijauskas, Serghei Socolovschi   +2 more
doaj   +1 more source

Multi-Sensors for Human Activity Recognition

Sensors, 2023
Human activity recognition (HAR) has made significant progress in recent years, with growing applications in various domains, and the emergence of wearable and ambient sensors has provided new opportunities in the field [...]
Athina Tsanousa, Georgios Meditskos, Stefanos Vrochidis, Ioannis Kompatsiaris   +3 more
doaj   +1 more source

Lightweight human activity recognition learning model

工程科学学报, 2022
In the past few decades, smartphone-based human activity recognition research has played an important role in many fields, including smart buildings, healthcare, and the military.
Jing NAN, Zhong-hua JIAN, Chuan-feng NING, Wei DAI   +3 more
doaj   +1 more source

Human Activity Recognition (HAR) in Healthcare

Applied Sciences, 2023
Developments in the medical and technological fields have led to a longer life expectancy [...]
Luigi Bibbò, Marley M. B. R. Vellasco
doaj   +1 more source

Acoustic- and Radio-Frequency-Based Human Activity Recognition

Sensors, 2022
In this work, a hybrid radio frequency (RF)- and acoustic-based activity recognition system was developed to demonstrate the advantage of combining two non-invasive sensors in Human Activity Recognition (HAR) systems and smart assisted living.
Masoud Mohtadifar, Michael Cheffena, Alireza Pourafzal   +2 more
doaj   +1 more source

Human Activity Recognition with Meta-learning and Attention [PDF]

Jisuanji kexue, 2023
With the in-depth research of deep learning technology,its application and development in the field of behavior recognition have been greatly promoted.Current research on behavior recognition based on deep learning usually requires a large training data ...
WANG Jiahao, ZHONG Xin, LI Wenxiong, ZHAO Dexin
doaj   +1 more source