Human activity recognition in artificial intelligence framework: a narrative review
Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …
acquisition devices such as smartphones, video cameras, and its ability to capture human …
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 …
[PDF][PDF] Examining the influence of covid 19 pandemic in changing customers' orientation towards e-shopping
TN Hashem - Modern Applied Science, 2020 - academia.edu
Current study aimed at examining the change in customer behavior during COVID 19
pandemic towards e-shopping. Variables taken into perspective included (Frequency …
pandemic towards e-shopping. Variables taken into perspective included (Frequency …
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 …
TagScan: Simultaneous target imaging and material identification with commodity RFID devices
Target imaging and material identification play an important role in many real-life
applications. This paper introduces TagScan, a system that can identify the material type …
applications. This paper introduces TagScan, a system that can identify the material type …
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 …
Multi-touch in the air: Device-free finger tracking and gesture recognition via COTS RFID
Recently, gesture recognition has gained considerable attention in emerging applications
(eg, AR/VR systems) to provide a better user experience for human-computer interaction …
(eg, AR/VR systems) to provide a better user experience for human-computer interaction …
Deep learning for rfid-based activity recognition
We present a system for activity recognition from passive RFID data using a deep
convolutional neural network. We directly feed the RFID data into a deep convolutional …
convolutional neural network. We directly feed the RFID data into a deep convolutional …
Rio: A pervasive rfid-based touch gesture interface
In this paper, we design and develop RIO, a novel battery-free touch sensing user interface
(UI) primitive for future IoT and smart spaces. RIO enables UIs to be constructed using off-the …
(UI) primitive for future IoT and smart spaces. RIO enables UIs to be constructed using off-the …
STPP: Spatial-temporal phase profiling-based method for relative RFID tag localization
Many object localization applications need the relative locations of a set of objects as
oppose to their absolute locations. Although many schemes for object localization using …
oppose to their absolute locations. Although many schemes for object localization using …