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Human action recognition from various data modalities: A review
Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …
each action. It has a wide range of applications, and therefore has been attracting increasing …
Cross-domain wifi sensing with channel state information: A survey
The past years have witnessed the rapid conceptualization and development of wireless
sensing based on Channel State Information (CSI) with commodity WiFi devices. Recent …
sensing based on Channel State Information (CSI) with commodity WiFi devices. Recent …
SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing
Over the recent years, WiFi sensing has been rapidly developed for privacy-preserving,
ubiquitous human-sensing applications, enabled by signal processing and deep-learning …
ubiquitous human-sensing applications, enabled by signal processing and deep-learning …
Transfer learning for wireless networks: A comprehensive survey
With outstanding features, machine learning (ML) has become the backbone of numerous
applications in wireless networks. However, the conventional ML approaches face many …
applications in wireless networks. However, the conventional ML approaches face many …
Data augmentation and dense-LSTM for human activity recognition using WiFi signal
Recent research has devoted significant efforts on the utilization of WiFi signals to recognize
various human activities. An individual's limb motions in the WiFi coverage area could …
various human activities. An individual's limb motions in the WiFi coverage area could …
Wi-Fi sensing for joint gesture recognition and human identification from few samples in human-computer interaction
Gesture recognition is the central enabler of human-computer interaction (HCI). In addition
to the semantic information contained in gestures, gesture-based user identification can …
to the semantic information contained in gestures, gesture-based user identification can …
Device-free wireless sensing for human detection: The deep learning perspective
Currently, developments in wireless sensing technologies have shown that wireless signals
can be employed to transmit information between wireless communication devices and are …
can be employed to transmit information between wireless communication devices and are …
Utilizing deep learning models in CSI-based human activity recognition
In recent years, channel state information (CSI) in WiFi 802.11 n has been increasingly used
to collect data pertaining to human activity. Such raw data are then used to enhance human …
to collect data pertaining to human activity. Such raw data are then used to enhance human …
ST-DeepHAR: Deep learning model for human activity recognition in IoHT applications
M Abdel-Basset, H Hawash… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Human activity recognition (HAR) has been regarded as an indispensable part of many
smart home systems and smart healthcare applications. Specifically, HAR is of great …
smart home systems and smart healthcare applications. Specifically, HAR is of great …
Intelligent wireless sensing driven metaverse: A survey
Metaverse seamlessly integrates the real world with the virtual world and allows avatars to
carry out rich activities including creation, display, entertainment, social, and trading. It …
carry out rich activities including creation, display, entertainment, social, and trading. It …