Results 31 to 40 of about 14,335,879 (294)

CBARS: cluster based classification for activity recognition systems [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, Krishnaswamy, S., Shonali Krishnaswamy, Krishnaswamy, Shonali, Abdallah, Z., Srinivasan, B., Mohamed Medhat Gaber, Gaber, M., Srinivasan, B, Abdallah, Zahraa S., Zahraa Said Abdallah, Bala Srinivasan   +11 more
core   +1 more source

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

KCAR : a knowledge-driven approach for concurrent activity recognition [PDF]

, 2015
Recognising human activities from sensors embedded in an environment or worn on bodies is an important and challenging research topic in pervasive computing.
Ye, Juan, Dobson, Simon Andrew, Stevenson, Graeme Turnbull   +2 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

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

Representation and recognition of human actions in video [PDF]

, 2011
PhDAutomated human action recognition plays a critical role in the development of human-machine communication, by aiming for a more natural interaction between artificial intelligence and the human society.
Bregonzio, Matteo
core   +4 more sources

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

Energy and Accuracy Trade-Offs in Accelerometry-Based Activity Recognition [PDF]

, 2013
Driven by real-world applications such as fitness, wellbeing and healthcare, accelerometry-based activity recognition has been widely studied to provide context-awareness to future pervasive technologies.
Geoff V. Merrett, Merrett, Geoff V., Alex Rogers, Robert G. Maunder, Wang, Ning, Rogers, Alex, Ning Wang, Maunder, Robert G.   +7 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