Results 31 to 40 of about 7,481,837 (104)

A Comprehensive Study of Activity Recognition Using Accelerometers

Informatics, 2018
This paper serves as a survey and empirical evaluation of the state-of-the-art in activity recognition methods using accelerometers. The paper is particularly focused on long-term activity recognition in real-world settings.
Niall Twomey, Tom Diethe, Xenofon Fafoutis, Atis Elsts, Ryan McConville, Peter Flach, Ian Craddock   +6 more
doaj   +1 more source

Predicting Activity Duration in Smart Sensing Environments Using Synthetic Data and Partial Least Squares Regression: The Case of Dementia Patients

Sensors, 2022
The accurate recognition of activities is fundamental for following up on the health progress of people with dementia (PwD), thereby supporting subsequent diagnosis and treatments.
Miguel Ortiz-Barrios, Eric Järpe, Matías García-Constantino, Ian Cleland, Chris Nugent, Sebastián Arias-Fonseca, Natalia Jaramillo-Rueda   +6 more
doaj   +1 more source

Through-wall Human Pose Reconstruction and Action Recognition Using Four-dimensional Imaging Radar

Leida xuebao
Through-wall human pose reconstruction and behavior recognition have enormous potential in fields like intelligent security and virtual reality. However, existing methods for through-wall human sensing often fail to adequately model four-Dimensional (4D)
Rui ZHANG, Hanqin GONG, Ruiyuan SONG, Yadong LI, Zhi LU, Dongheng ZHANG, Yang HU, Yan CHEN   +7 more
doaj   +1 more source

Tangible User Interface and Mu Rhythm Suppression: The Effect of User Interface on the Brain Activity in Its Operator and Observer

Applied Sciences, 2017
The intuitiveness of tangible user interface (TUI) is not only for its operator. It is quite possible that this type of user interface (UI) can also have an effect on the experience and learning of observers who are just watching the operator using it ...
Kazuo Isoda, Kana Sueyoshi, Ryo Miyamoto, Yuki Nishimura, Yuki Ikeda, Ichiro Hisanaga, Stéphanie Orlic, Yeon-kyu Kim, Shigekazu Higuchi   +8 more
doaj   +1 more source

Opportunities for activity recognition using ultrasound doppler sensing on unmodified mobile phones

, 2022
Art. 8, 10 S.Nowadays activity recognition on smartphones is ubiquitously applied, for example to monitor personal health. The smartphone's sensors act as a foundation to provide information on movements, the user's location or direction.
Karolus, Jakob, Fu, Biying, Große-Puppendahl, Tobias, Hermann, Jonathan, Kuijper, Arjan   +4 more
core   +1 more source

Signal reproduction of acceleration sensor data for physical activity recognition

, 2022
S.36-41This paper addresses the challenges of flexible acceleration sensor sampling rates of mobile phones and describes the problem of signal reproduction of blurred or distorted signals for physical activity recognition.
Wacker, Fred, Bieber, Gerald
core   +1 more source

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, Troster, Gerhard, Ward, Jamie A, Starner, Thad E.   +3 more
core   +2 more sources

A Multi-Agent and Attention-Aware Enhanced CNN-BiLSTM Model for Human Activity Recognition for Enhanced Disability Assistance

Diagnostics
Background: Artificial intelligence (AI)-based automated human activity recognition (HAR) is essential in enhancing assistive technologies for disabled individuals, focusing on fall detection, tracking rehabilitation progress, and analyzing personalized ...
Mst Alema Khatun, Mohammad Abu Yousuf, Taskin Noor Turna, AKM Azad, Salem A. Alyami, Mohammad Ali Moni   +5 more
doaj   +1 more source

On-Device Deep Personalization for Robust Activity Data Collection

Sensors, 2020
One of the biggest challenges of activity data collection is the need to rely on users and keep them engaged to continually provide labels. Recent breakthroughs in mobile platforms have proven effective in bringing deep neural networks powered ...
Nattaya Mairittha, Tittaya Mairittha, Sozo Inoue   +2 more
doaj   +1 more source

Using activity recognition for the tracking of assembly processes: Challenges and requirements

, 2015
S.12-21Activity recognition helps to improve the quality of assistance applications by enabling adaptive and purposeful user support. However, industrial applications require a far more robust recognition in order to ensure process reliable operations ...
Urban, Bodo, Gutzeit, Enrico, Aehnelt, Mario   +2 more
core   +1 more source