Results 11 to 20 of about 2,923,075 (185)
Active learning enabled activity recognition [PDF]
© 2016 IEEE, 2016 IEEE International Conference on Pervasive Computing and Communications (PerCom)
H. M. Sajjad Hossain +2 more
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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
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Active Goal Recognition Design [PDF]
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
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Multimodal Sensor Data Fusion for Activity Recognition Using Filtered Classifier
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
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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
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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
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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
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Comparing Sampling Strategies for Tackling Imbalanced Data in Human Activity Recognition
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
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Privacy‐preserving remote sensing images recognition based on limited visual cryptography
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
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Activity recognition methods often include some hyper-parameters based on experience, which greatly affects their effectiveness in activity recognition.
Yu Tong, Bo Yu
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