Results 81 to 90 of about 28,372 (157)
Adaptive HAR System to Improve Recognition Accuracy
Mehran University Research Journal of Engineering and Technology, 2018 HAR (Human Activity Recognition) system becomes complex, inefficient and less accurate as we keep on adding new activities into the system; because it follows a specific procedure for activity recognition, from raw data collection to classification.
Muhammad Arshad Awan
doaj +1 more source
Sensors, 2019 Sensor-based human activity recognition can benefit a variety of applications such as health care, fitness, smart homes, rehabilitation training, and so forth.
Yiming Tian +3 more
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Improving posture classification accuracy for depth sensor-based human activity monitoring in smart environments [PDF]
, 2016 Smart environments and monitoring systems are popular research areas nowadays due to its potential to enhance the quality of life. Applications such as human behaviour analysis and workspace ergonomics monitoring are automated, thereby improving well ...
Yuen, Pong C. +9 more
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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 +4 more
core +1 more source
Human Activity Recognition with Noise-Injected Time-Distributed AlexNet
BiomimeticsThis study investigates the integration of biologically inspired noise injection with a time-distributed adaptation of the AlexNet architecture to enhance the performance and robustness of human activity recognition (HAR) systems.
Sanjay Dutta +2 more
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Transfer-Learning-Based Human Activity Recognition Using Antenna Array
Remote SensingDue to its low cost and privacy protection, Channel-State-Information (CSI)-based activity detection has gained interest recently. However, to achieve high accuracy, which is challenging in practice, a significant number of training samples are required.
Kun Ye +7 more
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Human Activity Recognition using Smartphone
CoRR, 2014 Human activity recognition has wide applications in medical research and human survey system. In this project, we design a robust activity recognition system based on a smartphone. The system uses a 3-dimentional smartphone accelerometer as the only sensor to collect time series signals, from which 31 features are generated in both time and frequency ...
Amin Rasekh, Chien-An Chen, Yan Lu
openaire +2 more sources
Attention-Based CNN-BiGRU-Transformer Model for Human Activity Recognition
Applied SciencesHuman activity recognition (HAR) based on wearable sensors is a key technology in the fields of smart sensing and health monitoring. With the rapid development of deep learning, its powerful feature extraction capabilities have significantly enhanced ...
Mingda Miao +5 more
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Feature Analysis to Human Activity Recognition
International Journal of Computers Communications & Control, 2016 Human activity recognition (HAR) is one of those research areas whose importance and popularity have notably increased in recent years. HAR can be seen as a general machine learning problem which requires feature extraction and feature selection. In previous articles different features were extracted from time, frequency and wavelet domains for HAR but
Jozsef Suto +2 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 +7 more
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