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The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey

Sensors, 2022
Human activity recognition (HAR) has become an intensive research topic in the past decade because of the pervasive user scenarios and the overwhelming development of advanced algorithms and novel sensing approaches.
Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz   +3 more
doaj   +1 more source

Human Physical Activity Recognition Using Smartphone Sensors

Sensors, 2019
Because the number of elderly people is predicted to increase quickly in the upcoming years, “aging in place„ (which refers to living at home regardless of age and other factors) is becoming an important topic in the area of ambient assisted ...
Robert-Andrei Voicu, Ciprian Dobre, Lidia Bajenaru, Radu-Ioan Ciobanu   +3 more
doaj   +1 more source

Zero-Shot Human Activity Recognition Using Non-Visual Sensors

Sensors, 2020
Due to significant advances in sensor technology, studies towards activity recognition have gained interest and maturity in the last few years. Existing machine learning algorithms have demonstrated promising results by classifying activities whose ...
Fadi Al Machot, Mohammed R. Elkobaisi, Kyandoghere Kyamakya   +2 more
doaj   +1 more source

A Review of Human Activity Recognition Methods

Frontiers in Robotics and AI, 2015
Recognizing human activities from video sequences or still images is a challenging task due to problems such as background clutter, partial occlusion, changes in scale, viewpoint, lighting, and appearance.
Michalis eVrigkas, Christophoros eNikou, Ioannis eKakadiaris   +2 more
doaj   +1 more source

Multi-Camera-Based Human Activity Recognition for Human–Robot Collaboration in Construction

Sensors, 2023
As the use of construction robots continues to increase, ensuring safety and productivity while working alongside human workers becomes crucial. To prevent collisions, robots must recognize human behavior in close proximity. However, single, or RGB-depth
Youjin Jang, Inbae Jeong, Moein Younesi Heravi, Sajib Sarkar, Hyunkyu Shin, Yonghan Ahn   +5 more
doaj   +1 more source

Human Activity Recognition in the Presence of Occlusion

Sensors, 2023
The presence of occlusion in human activity recognition (HAR) tasks hinders the performance of recognition algorithms, as it is responsible for the loss of crucial motion data. Although it is intuitive that it may occur in almost any real-life environment, it is often underestimated in most research works, which tend to rely on datasets that have been ...
Ioannis Vernikos, Theodoros Spyropoulos, Evaggelos Spyrou, Phivos Mylonas   +3 more
openaire   +3 more sources

Machine Learning Prediction of Human Activity Recognition

Ethiopian Journal of Science and Sustainable Development, 2019
Wearable computation is getting integrated into our daily life. It has got wide acceptance due to their small sizes, and reasonable computation power.
Getinet Yilam, Dileep Kumar
doaj   +1 more source

nanoML for Human Activity Recognition

CoRR
Accepted as a full paper by the 2025 EDGE AI FOUNDATION ...
Alan T. L. Bacellar, Mugdha P. Jadhao, Shashank Nag, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John   +5 more
openaire   +2 more sources

Pengenalan Aktivitas Manusia pada Area Tambak Udang dengan Convolutional Neural Network

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021
Thievery is a problem that can harm theft victims. Thievery usually occurs at night when there is no supervision of goods in a location. To avoid thievery and monitor conditions in a location, CCTV (Closed-Circuit Television) cameras can be used. However,
M Arfan, Ahmad Nurjalal, Maman Somantri, Sudjadi   +3 more
doaj   +1 more source

4D radar simulator for human activity recognition

IET Radar, Sonar & Navigation
Millimetre‐wave radar has been widely used in health monitoring and human activity recognition owing to its improved range resolution and operation in a variety of environmental conditions.
Junyu Zhou, Julien Le Kernec
doaj   +1 more source