Results 41 to 50 of about 2,288,890 (272)

Context-Aware Human Activity Recognition in Industrial Processes

Sensors, 2021
The automatic, sensor-based assessment of human activities is highly relevant for production and logistics, to optimise the economics and ergonomics of these processes.
Friedrich Niemann, Stefan Lüdtke, Christian Bartelt, Michael ten Hompel   +3 more
doaj   +1 more source

Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine [PDF]

, 2012
Activity-Based Computing aims to capture the state of the user and its environment by exploiting heterogeneous sensors in order to provide adaptation to exogenous computing resources.
Anguita, Davide, Ghio, Alessandro, Llanas Parra, Francesc Xavier, Oneto, Luca, Reyes Ortiz, Jorge Luis   +4 more
core   +1 more source

Boosting Inertial-Based Human Activity Recognition With Transformers

IEEE Access, 2021
Activity recognition problems such as human activity recognition and smartphone location recognition can improve the accuracy of different navigation or healthcare tasks, which rely solely on inertial sensors.
Yoli Shavit, Itzik Klein
doaj   +1 more source

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

, 2019
Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition.
Duan, Ling-Yu, Kot, Alex C., Liu, Jun, Perez, Mauricio, Shahroudy, Amir, Wang, Gang   +5 more
core   +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

3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks

, 2015
Human activity understanding with 3D/depth sensors has received increasing attention in multimedia processing and interactions. This work targets on developing a novel deep model for automatic activity recognition from RGB-D videos.
Lin, Liang, Wang, Keze, Wang, Meng, Wang, Xiaolong, Zuo, Wangmeng   +4 more
core   +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

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

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   +3 more sources

Joint segmentation of multivariate time series with hidden process regression for human activity recognition

, 2013
The problem of human activity recognition is central for understanding and predicting the human behavior, in particular in a prospective of assistive services to humans, such as health monitoring, well being, security, etc.
Amirat, Yacine, Chamroukhi, Faicel, Mohammed, Samer, Oukhellou, Latifa, Trabelsi, Dorra   +4 more
core   +4 more sources