Results 21 to 30 of about 8,580,577 (295)

A Hierarchical Approach to Activity Recognition and Fall Detection Using Wavelets and Adaptive Pooling

Sensors, 2021
Human activity recognition has been a key study topic in the development of cyber physical systems and assisted living applications. In particular, inertial sensor based systems have become increasingly popular because they do not restrict users ...
Abbas Shah Syed, Daniel Sierra-Sosa, Anup Kumar, Adel Elmaghraby   +3 more
doaj   +1 more source

Evaluating Performance in Continuous Context Recognition Using Event-Driven Error Characterisation [PDF]

, 2006
Evaluating the performance of a continuous activity recognition system can be a challenging problem. To-date there is no widely accepted standard for dealing with this, and in general methods and measures are adapted from related fields such as speech ...
Lukowicz, Paul, Ward, Jamie A, Tröster, Gerhard   +2 more
core   +5 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   +2 more sources

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

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

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

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

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

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