Background subtraction in real applications: Challenges, current models and future directions
Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …
in their first step. Background subtraction is then applied in order to separate the background …
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 …
Different approaches for human activity recognition: A survey
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 …
A survey on human behavior recognition using channel state information
Z Wang, K Jiang, Y Hou, W Dou, C Zhang… - Ieee …, 2019 - ieeexplore.ieee.org
Recently, device-free human behavior recognition has become a hot research topic and has
achieved significant progress in the field of ubiquitous computing. Among various …
achieved significant progress in the field of ubiquitous computing. Among various …
RFM-based repurchase behavior for customer classification and segmentation
Customer behavior modeling and classification are well-studied areas for applications in
retail. Past studies implemented the purchase behavior modeling based on the physical …
retail. Past studies implemented the purchase behavior modeling based on the physical …
Wireless sensing for material identification: A survey
As an application of fine-grained wireless sensing, RF-based material identification follows
the paradigm of RF computing that fetches the information during RF signal propagation …
the paradigm of RF computing that fetches the information during RF signal propagation …
Leggiero: Analog wifi backscatter with payload transparency
Backscatter is an enabling technology for battery-free sensing in today's Artificial Intelligence
of Things (AIOT). Building a backscatter-based sensing system, however, is a daunting task …
of Things (AIOT). Building a backscatter-based sensing system, however, is a daunting task …
A Survey on RFID in Industry 4.0
The primary function of radio-frequency identification (RFID) technology is automated
identification and data capture (AIDC). RFID systems are widely applied in current industries …
identification and data capture (AIDC). RFID systems are widely applied in current industries …
Design and implementation of a CSI-based ubiquitous smoking detection system
Even though indoor smoking ban is being put into practice in civilized countries, existing
vision or sensor-based smoking detection methods cannot provide ubiquitous detection …
vision or sensor-based smoking detection methods cannot provide ubiquitous detection …
A survey of machine learning and meta-heuristics approaches for sensor-based human activity recognition systems
Abstract Human Activity Recognition (HAR) is an important research area that has profound
applications in healthcare, security and surveillance. Starting from traditional machine …
applications in healthcare, security and surveillance. Starting from traditional machine …