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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 +3 more
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An activity description language for activity recognition [PDF]
2017 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC), 2017 Activity recognition aims at recognizing and understanding the movements, actions, and objectives of mobile objects. These objects can be humans, animals, or simple artefacts. Many important and critical applications such as surveillance or health care require some form of (human) activity recognition.
Sarray, Ines +4 more
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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 +2 more
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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 +5 more
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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 +3 more
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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 +4 more
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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 +3 more
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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 +11 more
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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 +2 more
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Parameterized Modeling and Recognition of Activities [PDF]
Computer Vision and Image Understanding, 1999 In this paper we consider a class of human activities?atomic activities?which can be represented as a set of measurements over a finite temporal window (e.g., the motion of human body parts during a walking cycle) and which has a relatively small space of variations in performance.
Yaser Yacoob, Michael J. Black
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