Results 31 to 40 of about 15,643,473 (301)

BRAIN-INSPIRED SPIKING NEURAL NETWORKS FOR WI-FI BASED HUMAN ACTIVITY RECOGNITION [PDF]

, 2021
Human activities can be recognized through reflections of wireless signals which solve the problem of privacy concerns and restriction of the application environment in vision-based recognition.
Wong, Yan Chiew, Ahmad Radzi, Syafeeza, Tan, Yee Leong, Syafeeza Radzi, Syafeeza Ahmad Radzi, Yee Tan, Yan Chiew Wong, Yan Wong, Yee Leong Tan   +8 more
core   +1 more source

Mars: a personalised mobile activity recognition system [PDF]

, 2012
Mobile activity recognition focuses on inferring the current activities of a mobile user by leveraging the sensory data that is available on today’s smart phones.
Krishnaswamy, S., Shonali Krishnaswamy, Bártolo Gomes, Joao Paulo, Mohamed Medhat Gaber, Gaber, M., Gomes, J., Sousa, P., Pedro A.C. Sousa, Menasalvas, E., Joao B'rtolo Gomes, Krishnaswamy, Shonali, Ernestina Menasalvas, Gaber, Mohamed M., Sousa, Pedro, Menasalvas Ruiz, Ernestina   +14 more
core   +1 more source

StreamAR: incremental and active learning with evolving sensory data for activity recognition [PDF]

, 2012
Activity recognition focuses on inferring current user activities by leveraging sensory data available on today’s sensor rich environment. Supervised learning has been applied pervasively for activity recognition.
Gaber, Mohamed Medhat, M. M. Gaber, B. Srinivasan, Krishnaswamy, S., Z. S. Abdallah, Krishnaswamy, Shonali, Abdallah, Z., Srinivasan, B., Gaber, M., Srinivasan, B, S. Krishnaswamy, Abdallah, Zahraa S.   +11 more
core   +1 more source

Human Activity Recognition

International Journal of Innovative Technology and Exploring Engineering, 2020
With advancement in the field of health and medicine, new and better sensors are being developed which help monitor various aspects of an individual’s health. To provide the users with effective analysis related to their health using these sensors, an optimized and accurate solution is required.
Chetashri Bhadane, M. Umair Siddiqui, Siddhant Soni, Vijay Pratap Singh   +3 more
openaire   +2 more sources

Segmentation and recognition of continuous human activity [PDF]

Proceedings IEEE Workshop on Detection and Recognition of Events in Video, 2001
This paper presents a methodology for automatic segmentation and recognition of continuous human activity. We segment a continuous human activity into separate actions and correctly identify each action. The camera views the subject from the lateral view: there are no distinct breaks or pauses between the execution of different actions.
Anjum Ali, J. K. Aggarwal
openaire   +1 more source

A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks

Sensors, 2016
Human activity recognition has gained more interest in several research communities given that understanding user activities and behavior helps to deliver proactive and personalized services.
Hiram Ponce, María de Lourdes Martínez-Villaseñor, Luis Miralles-Pechuán   +2 more
doaj   +1 more source

Physical Human Activity Recognition Using Wearable Sensors

Sensors, 2015
This paper presents a review of different classification techniques used to recognize human activities from wearable inertial sensor data. Three inertial sensor units were used in this study and were worn by healthy subjects at key points of upper/lower ...
Ferhat Attal, Samer Mohammed, Mariam Dedabrishvili, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat   +5 more
doaj   +1 more source

A CSI-Based Multi-Environment Human Activity Recognition Framework

Applied Sciences, 2022
Passive human activity recognition (HAR) systems, in which no sensors are attached to the subject, provide great potentials compared to conventional systems.
Baha A. Alsaify, Mahmoud M. Almazari, Rami Alazrai, Sahel Alouneh, Mohammad I. Daoud   +4 more
doaj   +1 more source

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

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
This research focuses on Human Activity Recognition (HAR) using sensor-based data, primarily from gyroscopes and accelerometers, to classify and analyze human movements in real time. With the increasing adoption of wearable devices and smart environments, HAR has gained significant importance in applications such as healthcare, fitness tracking, smart ...
Gabriele Schabacher, Sophie Spallinger
  +7 more sources