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A review and categorization of techniques on device-free human activity recognition
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …
various fields such as health, security and surveillance, entertainment, and intelligent …
Deep learning for radio-based human sensing: Recent advances and future directions
While decade-long research has clearly demonstrated the vast potential of radio frequency
(RF) for many human sensing tasks, scaling this technology to large scenarios remained …
(RF) for many human sensing tasks, scaling this technology to large scenarios remained …
Limu-bert: Unleashing the potential of unlabeled data for imu sensing applications
Deep learning greatly empowers Inertial Measurement Unit (IMU) sensors for various mobile
sensing applications, including human activity recognition, human-computer interaction …
sensing applications, including human activity recognition, human-computer interaction …
Artificial intelligence of things: A survey
The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
Accurate respiration monitoring for mobile users with commercial RFID devices
Vital signs (eg, respiration rate or heartbeat rate) sensing is of great importance to
implement pervasive in-home healthcare. Traditional vital signs monitoring approaches …
implement pervasive in-home healthcare. Traditional vital signs monitoring approaches …