Results 11 to 20 of about 2,923,075 (185)

Active learning enabled activity recognition [PDF]

open access: yesPervasive and Mobile Computing, 2016
© 2016 IEEE, 2016 IEEE International Conference on Pervasive Computing and Communications (PerCom)
H. M. Sajjad Hossain   +2 more
openaire   +1 more source

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

open access: yesSensors, 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   +3 more
doaj   +1 more source

Active Goal Recognition Design [PDF]

open access: yesProceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
In Goal Recognition Design (GRD), the objective is to modify a domain to facilitate early detection of the goal of a subject agent. Most previous work studies this problem in the offline setting, in which the observing agent performs its interventions before the subject begins acting.
Kevin C. Gall, Wheeler Ruml, Sarah Keren
openaire   +1 more source

Multimodal Sensor Data Fusion for Activity Recognition Using Filtered Classifier

open access: yesProceedings, 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   +3 more
doaj   +1 more source

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

open access: yesSensors, 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   +5 more
doaj   +1 more source

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

open access: yesAlgorithms, 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   +4 more
doaj   +1 more source

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

open access: yesSensors, 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   +3 more
doaj   +1 more source

Comparing Sampling Strategies for Tackling Imbalanced Data in Human Activity Recognition

open access: yesSensors, 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   +2 more
doaj   +1 more source

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

open access: yesCAAI 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   +4 more
doaj   +1 more source

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

open access: yesEntropy, 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

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