Results 41 to 50 of about 8,580,577 (295)
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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A Transformer-Based Hybrid Model for Human Activity Recognition Using Smart Home Environmental Sensor Data [PDF]
مدیریت مهندسی و رایانش نرمWith the rapid expansion of smart homes, accurate and automatic recognition of human activities has become one of the key challenges in the fields of artificial intelligence and the Internet of Things. This technology has vital applications in areas such
Ronak Fatahi, Fatemeh Sadat Lesani
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Sensors, 2021 The applicability of sensor-based human activity recognition in sports has been repeatedly shown for laboratory settings. However, the transferability to real-world scenarios cannot be granted due to limitations on data and evaluation methods.
Maike Stoeve +4 more
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Energy and Accuracy Trade-Offs in Accelerometry-Based Activity Recognition [PDF]
, 2013 Driven by real-world applications such as fitness, wellbeing and healthcare, accelerometry-based activity recognition has been widely studied to provide context-awareness to future pervasive technologies.
Geoff V. Merrett +7 more
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A Hierarchy-Based System for Recognizing Customer Activity in Retail Environments
Sensors, 2021 Customer activity (CA) in retail environments, which ranges over various shopper situations in store spaces, provides valuable information for store management and marketing planning.
Jiahao Wen +3 more
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Active Goal Recognition Design [PDF]
Proceedings 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
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Micro Activities Recognition in Uncontrolled Environments
Applied Sciences, 2021 Deep learning has proven to be very useful for the image understanding in efficient manners. Assembly of complex machines is very common in industries. The assembly of automated teller machines (ATM) is one of the examples.
Ali Abbas +3 more
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Table Tennis Tutor: Forehand Strokes Classification Based on Multimodal Data and Neural Networks
Sensors, 2021 Beginner table-tennis players require constant real-time feedback while learning the fundamental techniques. However, due to various constraints such as the mentor’s inability to be around all the time, expensive sensors and equipment for sports training,
Khaleel Asyraaf Mat Sanusi +3 more
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Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers [PDF]
, 2006 In order to provide relevant information to mobile users, such as workers engaging in the manual tasks of maintenance and assembly, a wearable computer requires information about the user's specific activities.
Lukowicz, Paul +3 more
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Sensors, 2021 This review presents the state of the art and a global overview of research challenges of real-time distributed activity recognition in the field of healthcare.
Rani Baghezza +3 more
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