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Human action recognition using fusion of multiview and deep features: an application to video surveillance
Abstract Human Action Recognition (HAR) has become one of the most active research area
in the domain of artificial intelligence, due to various applications such as video surveillance …
in the domain of artificial intelligence, due to various applications such as video surveillance …
Internet of things‐based intelligent smart home control system
O Taiwo, AE Ezugwu - Security and Communication Networks, 2021 - Wiley Online Library
The smart home is now an established area of interest and research that contributes to
comfort in modern homes. With the Internet being an essential part of broad communication …
comfort in modern homes. With the Internet being an essential part of broad communication …
A resource conscious human action recognition framework using 26-layered deep convolutional neural network
Vision-based human action recognition (HAR) is a hot topic of research from the decade due
to a few popular applications such as visual surveillance and robotics. For correct action …
to a few popular applications such as visual surveillance and robotics. For correct action …
Semantics-aware adaptive knowledge distillation for sensor-to-vision action recognition
Existing vision-based action recognition is susceptible to occlusion and appearance
variations, while wearable sensors can alleviate these challenges by capturing human …
variations, while wearable sensors can alleviate these challenges by capturing human …
Review of automated computerized methods for brain tumor segmentation and classification
Recently, medical imaging and machine learning gained significant attention in the early
detection of brain tumor. Compound structure and tumor variations, such as change of size …
detection of brain tumor. Compound structure and tumor variations, such as change of size …
A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition
Human gait recognition (HGR) shows high importance in the area of video surveillance due
to remote access and security threats. HGR is a technique commonly used for the …
to remote access and security threats. HGR is a technique commonly used for the …
Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features
In the area of machine learning and pattern recognition, object classification is getting an
attraction due to its range of applications such as visual surveillance. In recent times …
attraction due to its range of applications such as visual surveillance. In recent times …
[HTML][HTML] Human gait recognition: A single stream optimal deep learning features fusion
Human Gait Recognition (HGR) is a biometric technique that has been utilized for security
purposes for the last decade. The performance of gait recognition can be influenced by …
purposes for the last decade. The performance of gait recognition can be influenced by …
CNN-SVM learning approach based human activity recognition
Although it has been encountered for a long time, the human activity recognition remains a
big challenge to tackle. Recently, several deep learning approaches have been proposed to …
big challenge to tackle. Recently, several deep learning approaches have been proposed to …
A review of physical human activity recognition chain using sensors
O AlShorman, B Alshorman… - Indonesian Journal of …, 2020 - section.iaesonline.com
In the era of Internet of Medical Things (IoMT), healthcare monitoring has gained a vital role
nowadays. Moreover, improving lifestyle, encouraging healthy behaviours, and decreasing …
nowadays. Moreover, improving lifestyle, encouraging healthy behaviours, and decreasing …