Results 51 to 60 of about 670,504 (156)
Joint Learning of Temporal Models to Handle Imbalanced Data for Human Activity Recognition
Applied Sciences, 2020 Human activity recognition has become essential to a wide range of applications, such as smart home monitoring, health-care, surveillance. However, it is challenging to deliver a sufficiently robust human activity recognition system from raw sensor data ...
Rebeen Ali Hamad +3 more
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Features and models for human activity recognition [PDF]
Neurocomputing, 2015 Human Activity Recognition (HAR) is aimed at identifying current subject task performed by a person as a result of analyzing data from wearable sensors. HAR is a very challenging task that has been applied in different areas such as rehabilitation and localization.
Silvia González +5 more
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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
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Recognition of Real-Time Video Activities Using Stacked Bi-GRU with Fusion-based Deep Architecture [PDF]
Journal of Universal Computer ScienceRecognizing and understanding human activities in real-time videos is a challenging task due to the complex nature of video data and the need for efficient and accurate analysis.
Ujwala Thakur +2 more
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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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Fast Human Activity Recognition
Proceedings of the International Conference on Image Processing and Vision Engineering, 2021 Shane Reid +4 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
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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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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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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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