Results 51 to 60 of about 28,372 (157)
A Review of Human Activity Recognition Methods
Frontiers in Robotics and AI, 2015 Recognizing human activities from video sequences or still images is a challenging task due to problems such as background clutter, partial occlusion, changes in scale, viewpoint, lighting, and appearance.
Michalis eVrigkas +2 more
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A survey on wearable sensor modality centred human activity recognition in health care [PDF]
, 2019 Increased life expectancy coupled with declining birth rates is leading to an aging population structure. Aging-caused changes, such as physical or cognitive decline, could affect people's quality of life, result in injuries, mental health or the lack of
Wang, Y +5 more
core +1 more source
Multi-Camera-Based Human Activity Recognition for Human–Robot Collaboration in Construction
Sensors, 2023 As the use of construction robots continues to increase, ensuring safety and productivity while working alongside human workers becomes crucial. To prevent collisions, robots must recognize human behavior in close proximity. However, single, or RGB-depth
Youjin Jang +5 more
doaj +1 more source
KCAR : a knowledge-driven approach for concurrent activity recognition
, 2015 Recognising human activities from sensors embedded in an environment or worn on bodies is an important and challenging research topic in pervasive computing.
Ye, Juan +2 more
core +1 more source
Machine Learning Prediction of Human Activity Recognition
Ethiopian Journal of Science and Sustainable Development, 2019 Wearable computation is getting integrated into our daily life. It has got wide acceptance due to their small sizes, and reasonable computation power.
Getinet Yilam, Dileep Kumar
doaj +1 more source
Human Activity Recognition in the Presence of Occlusion
Sensors, 2023 The presence of occlusion in human activity recognition (HAR) tasks hinders the performance of recognition algorithms, as it is responsible for the loss of crucial motion data. Although it is intuitive that it may occur in almost any real-life environment, it is often underestimated in most research works, which tend to rely on datasets that have been ...
Ioannis Vernikos +3 more
openaire +3 more sources
Architecture for organizing context-aware data in smart home for activity recognition system [PDF]
, 2013 Knowing human activity in each day is relevant information in several purposes. However, existing activity recognition systems have limitation to identify the human activity because they cannot get the appropriate information for recognition.
Lim, Azman Osman +9 more
core +1 more source
Capture-24: Activity tracker dataset for human activity recognition
, 2021 This dataset contains Axivity AX3 wrist-worn activity tracker data that were collected from 151 participants in 2014-2016 around the Oxfordshire area. Participants were asked to wear the device in daily living for a period of roughly 24 hours, amounting ...
Chan Chang, Shing +12 more
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nanoML for Human Activity Recognition
CoRRAccepted as a full paper by the 2025 EDGE AI FOUNDATION ...
Alan T. L. Bacellar +5 more
openaire +2 more sources
Pengenalan Aktivitas Manusia pada Area Tambak Udang dengan Convolutional Neural Network
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Thievery is a problem that can harm theft victims. Thievery usually occurs at night when there is no supervision of goods in a location. To avoid thievery and monitor conditions in a location, CCTV (Closed-Circuit Television) cameras can be used. However,
M Arfan +3 more
doaj +1 more source