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Vision-based manipulative gesture recognition in a human-robot interaction scenario
, 2008 Li Z. Vision-based manipulative gesture recognition in a human-robot interaction scenario. Bielefeld (Germany): Bielefeld University; 2008.Nowadays, many people are expecting an age of personal robots just as what happened in the evolution of computers ...
Li, Zhe
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, 2022 Wearable sensors potentially enable for a better and unobtrusive recognition of human activity and the state of rest, sleep, stress and drive the ongoing trend of the quantified self-movement.
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Sensor-Based Activity Recognition and Artificial Intelligence
This book constitutes the proceedings of the 9th International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2024, held in Potsdam, Germany, during September 26–27, 2024.
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A system of human vital signs monitoring and activity recognition based on body sensor network
, 2014 Purpose - The purpose of this paper is to develop a health monitoring system that can measure human vital signs and recognize human activity based on body sensor network (BSN).
Wang ZL(王哲龙), Zhao, Cong, Qiu, Sen
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User Activity Related Data Sets for Context Recognition [PDF]
, 2004 . The use of body-worn sensors for recognizing a person’s context has gained much popularity recently. For the development of suitable context recognition approaches and their evaluation, real-world data is essential.
Lukowicz, Paul +3 more
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Exploring the Benefits of Time Series Data Augmentation for Wearable Human Activity Recognition
Wearable Human Activity Recognition (HAR) is an important field of research in smart assistive technologies. Collecting the data needed to train reliable HAR classifiers is complex and expensive.
Hasan, Md Abid +5 more
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Recognition of Human daily activities
2015 IEEE International Conference on Communication Workshop (ICCW), 2015Capturing the type of physical activity a person is performing thorough his daily life, can inspire the development of new and innovative applications. Examples include monitoring patients' health and physical activity performance, reasoning upon the observed activity to recommend better training strategy, new therapeutic programs, etc. In this work we
Krasimir Tonchev +4 more
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Human activity recognition: A review
2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014), 2014Human Activity Recognition is one of the active research areas in computer vision for various contexts like security surveillance, healthcare and human computer interaction. In this paper, a total of thirty-two recent research papers on sensing technologies used in HAR are reviewed.
Ong Chin Ann, Lau Bee Theng
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Continuous human activity recognition
ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004., 2005Effectively recognizing human activities requires at least 32 joint related degrees of freedom to be estimated so as to reliably track the human body in 3D. The particle filter is robust to distracting clutter by maintaining multiple hypotheses for each of these joint angles.
Richard D. Green, Ling Guan
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Active Sensing in Human Activity Recognition
2017This work studies the problem of reducing the energy consumption of wearable sensors in a Human Activity Recognition (HAR) system. A HAR system is implemented using Hidden Markov Models, where decisions over the acquisition of new data are made based on the entropy of the posterior distribution of the activities. This problem is intractable in general,
Alfredo Nazábal +1 more
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