Results 11 to 20 of about 7,481,837 (104)

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

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

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

Privacy‐preserving remote sensing images recognition based on limited visual cryptography

CAAI Transactions on Intelligence Technology, 2023
With the arrival of new data acquisition platforms derived from the Internet of Things (IoT), this paper goes beyond the understanding of traditional remote sensing technologies.
Denghui Zhang, Muhammad Shafiq, Liguo Wang, Gautam Srivastava, Shoulin Yin   +4 more
doaj   +1 more source

Research on Hyper-Parameter Optimization of Activity Recognition Algorithm Based on Improved Cuckoo Search

Entropy, 2022
Activity recognition methods often include some hyper-parameters based on experience, which greatly affects their effectiveness in activity recognition.
Yu Tong, Bo Yu
doaj   +1 more source

Human Activity Recognition by Sequences of Skeleton Features

Sensors, 2022
In recent years, much effort has been devoted to the development of applications capable of detecting different types of human activity. In this field, fall detection is particularly relevant, especially for the elderly.
Heilym Ramirez, Sergio A. Velastin, Paulo Aguayo, Ernesto Fabregas, Gonzalo Farias   +4 more
doaj   +1 more source