What the Appearance Channel from Two-Stream Architectures for Activity Recognition Is Learning?
Sign Up to like & getrecommendations! Published in 2020 at "Pattern Recognition"
DOI: 10.1007/978-3-030-49076-8_24
Abstract: The automatic recognition of human activities from video data is being led by spatio-temporal Convolutional Neural Networks (3D CNNs), in particular two-stream architectures such as I3D that reports the best accuracy so far. Despite the… read more here.
Keywords: activity recognition; two stream; recognition; activity ... See more keywords
Skeleton-based human activity recognition using ConvLSTM and guided feature learning
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DOI: 10.1007/s00500-021-06238-7
Abstract: Human activity recognition aims to determine actions performed by a human in an image or video. Examples of human activity include standing, running, sitting, sleeping, etc. These activities may involve intricate motion patterns and undesired… read more here.
Keywords: activity recognition; convlstm; human activity; skeleton ... See more keywords
Human activity recognition via optical flow: decomposing activities into basic actions
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DOI: 10.1007/s00521-018-3951-x
Abstract: AbstractRecognizing human activities using automated methods has emerged recently as a pivotal research theme for security-related applications. In this research paper, an optical flow descriptor is proposed for the recognition of human actions by considering… read more here.
Keywords: activity recognition; human activity; recognition via; flow ... See more keywords
Indoor human activity recognition using high-dimensional sensors and deep neural networks
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DOI: 10.1007/s00521-019-04408-1
Abstract: Many smart home applications rely on indoor human activity recognition. This challenge is currently primarily tackled by employing video camera sensors. However, the use of such sensors is characterized by fundamental technical deficiencies in an… read more here.
Keywords: indoor human; activity recognition; human activity; sensor ... See more keywords
Two phase ensemble classifier for smartphone based human activity recognition independent of hardware configuration and usage behaviour
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DOI: 10.1007/s00542-018-3802-9
Abstract: Human activity recognition is an important technology in pervasive computing as it provides valuable information for smart healthcare and assisted living applications. Use of smartphones for activity recognition poses new challenges due to variation in… read more here.
Keywords: hardware configuration; two phase; activity; activity recognition ... See more keywords
Combining emerging patterns with random forest for complex activity recognition in smart homes
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DOI: 10.1007/s10489-017-0976-2
Abstract: New healthcare technologies are emerging with the increasing age of the society, where the development of smart homes for monitoring the elders’ activities is in the center of them. Identifying the resident’s activities in an… read more here.
Keywords: emerging patterns; activity recognition; patterns random; random forest ... See more keywords
Atypical Sample Regularizer Autoencoder for Cross-Domain Human Activity Recognition
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DOI: 10.1007/s10796-020-09992-5
Abstract: The sensor-based human activity recognition (HAR) using machine learning requires a sufficiently large amount of annotated data to realize an accurate classification model. This requirement stimulates the advancement of the transfer learning research area that… read more here.
Keywords: autoencoder; domain; activity recognition; representation ... See more keywords
Human Activity Recognition from Body Sensor Data using Deep Learning
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DOI: 10.1007/s10916-018-0948-z
Abstract: In recent years, human activity recognition from body sensor data or wearable sensor data has become a considerable research attention from academia and health industry. This research can be useful for various e-health applications such… read more here.
Keywords: sensor data; human activity; activity; activity recognition ... See more keywords
Heart rate monitoring, activity recognition, and recommendation for e-coaching
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DOI: 10.1007/s11042-018-5640-2
Abstract: Equipped with hardware, such as accelerometer and heart rate sensor, wearables enable measuring physical activities and heart rate. However, the accuracy of these heart rate measurements is still unclear and the coupling with activity recognition… read more here.
Keywords: rate monitoring; heart rate; heart; activity recognition ... See more keywords
Orientation Invariant Skeleton Feature (OISF): a new feature for Human Activity Recognition
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DOI: 10.1007/s11042-020-08902-w
Abstract: Human Activity Recognition is the process of identifying the activity of a person by analyzing continuous frames of a video. In many application areas, human activity identification is either a direct goal or it is… read more here.
Keywords: human activity; activity; activity recognition; feature oisf ... See more keywords
Activity recognition framework in sports videos
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DOI: 10.1007/s11042-021-10519-6
Abstract: Recent advancements in activity recognition from sports videos have attracted wide scientific interest of the Computer Vision community. However, the activity recognition problem from cricket video sequences is largely under-represented in the literature. This paper… read more here.
Keywords: recognition framework; sports videos; activity; framework sports ... See more keywords