Results 11 to 20 of about 980,735 (314)

Semantic Activity Recognition [PDF]

, 2008
Extracting automatically the semantics from visual data is a real challenge. We describe in this paper how recent work in cognitive vision leads to significative results in activity recognition for visualsurveillance and video monitoring. In particular we present work performed in the domain of video understanding in our PULSAR team at INRIA in Sophia ...
Thonnat, Monique
openaire   +3 more sources

DOLARS, a Distributed On-Line Activity Recognition System by Means of Heterogeneous Sensors in Real-Life Deployments—A Case Study in the Smart Lab of The University of Almería

Sensors, 2021
Activity Recognition (AR) is an active research topic focused on detecting human actions and behaviours in smart environments. In this work, we present the on-line activity recognition platform DOLARS (Distributed On-line Activity Recognition System ...
Marcos Lupión, Javier Medina-Quero, Juan F. Sanjuan, Pilar M. Ortigosa   +3 more
doaj   +1 more source

Active learning enabled activity recognition [PDF]

Pervasive and Mobile Computing, 2016
© 2016 IEEE, 2016 IEEE International Conference on Pervasive Computing and Communications (PerCom)
H. M. Sajjad Hossain, Nirmalya Roy, Md Abdullah Al Hafiz Khan   +2 more
openaire   +1 more source

Empowering Participatory Research in Urban Health: Wearable Biometric and Environmental Sensors for Activity Recognition

Sensors, 2023
Participatory exposure research, which tracks behaviour and assesses exposure to stressors like air pollution, traditionally relies on time-activity diaries. This study introduces a novel approach, employing machine learning (ML) to empower laypersons in
Rok Novak, Johanna Amalia Robinson, Tjaša Kanduč, Dimosthenis Sarigiannis, Sašo Džeroski, David Kocman   +5 more
doaj   +1 more source

Multimodal Sensor Data Fusion for Activity Recognition Using Filtered Classifier

Proceedings, 2018
Activity recognition (AR) is a subtask in pervasive computing and context-aware systems, which presents the physical state of human in real-time. These systems offer a new dimension to the widely spread applications by fusing recognized activities ...
Muhammad Asif Razzaq, Ian Cleland, Chris Nugent, Sungyoung Lee   +3 more
doaj   +1 more source

Detection and Classification of Unannounced Physical Activities and Acute Psychological Stress Events for Interventions in Diabetes Treatment

Algorithms, 2022
Detection and classification of acute psychological stress (APS) and physical activity (PA) in daily lives of people with chronic diseases can provide precision medicine for the treatment of chronic conditions such as diabetes.
Mohammad Reza Askari, Mahmoud Abdel-Latif, Mudassir Rashid, Mert Sevil, Ali Cinar   +4 more
doaj   +1 more source

A Deep Convolutional Neural Network-XGB for Direction and Severity Aware Fall Detection and Activity Recognition

Sensors, 2022
Activity and Fall detection have been a topic of keen interest in the field of ambient assisted living system research. Such systems make use of different sensing mechanisms to monitor human motion and aim to ascertain the activity being performed for ...
Abbas Shah Syed, Daniel Sierra-Sosa, Anup Kumar, Adel Elmaghraby   +3 more
doaj   +1 more source

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

Comparing Sampling Strategies for Tackling Imbalanced Data in Human Activity Recognition

Sensors, 2022
Human activity recognition (HAR) using wearable sensors is an increasingly active research topic in machine learning, aided in part by the ready availability of detailed motion capture data from smartphones, fitness trackers, and smartwatches.
Fayez Alharbi, Lahcen Ouarbya, Jamie A Ward   +2 more
doaj   +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