Au-id: Automatic user identification and authentication through the motions captured from sequential human activities using rfid

A Huang, D Wang, R Zhao, Q Zhang - … of the ACM on Interactive, Mobile …, 2019 - dl.acm.org
The advancements of ambient intelligence and ubiquitous computing are driving the
unprecedented development of smart spaces where enhanced services are provided based …

An unsupervised approach to activity recognition and segmentation based on object-use fingerprints

T Gu, S Chen, X Tao, J Lu - Data & Knowledge Engineering, 2010 - Elsevier
Human activity recognition is an important task which has many potential applications. In
recent years, researchers from pervasive computing are interested in deploying on-body …

RF-identity: Non-intrusive person identification based on commodity RFID devices

C Feng, J Xiong, L Chang, F Wang, J Wang… - Proceedings of the ACM …, 2021 - dl.acm.org
Person identification plays a critical role in a large range of applications. Recently, RF based
person identification becomes a hot research topic due to the contact-free nature of RF …

Gesture recognition using RFID technology

P Asadzadeh, L Kulik, E Tanin - Personal and Ubiquitous Computing, 2012 - Springer
We propose a gesture recognition technique based on RFID: cheap and unintrusive passive
RFID tags can be easily attached to or interweaved into user clothes, which are then read by …

Activity-based person identification using multimodal wearable sensor data

F Luo, S Khan, Y Huang, K Wu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Wearable devices equipped with a variety of sensors facilitate the measurement of
physiological and behavioral characteristics. Activity-based person identification is …

Modeling RFID signal reflection for contact-free activity recognition

Y Wang, Y Zheng - Proceedings of the ACM on Interactive, Mobile …, 2018 - dl.acm.org
Wireless sensing techniques for tracking human activities have been vigorously developed
in recent years. Yet current RFID based human activity recognition techniques need either …

RFnet: Automatic gesture recognition and human identification using time series RFID signals

H Ding, L Guo, C Zhao, F Wang, G Wang… - Mobile Networks and …, 2020 - Springer
Utilizing wireless signals for gesture recognition and human identification is an emerging
type of technology for touchless user interface, which allows the computer to automatically …

i2tag: RFID Mobility and Activity Identification Through Intelligent Profiling

X Fan, W Gong, J Liu - ACM Transactions on Intelligent Systems and …, 2017 - dl.acm.org
Many radio frequency identification (RFID) applications, such as virtual shopping cart and
tag-assisted gaming, involve sensing and recognizing tag mobility. However, existing RFID …

Things in the air: tagging wearable IoT information on drone videos

LD Van, LY Zhang, CH Chang, KL Tong, KR Wu… - Discover Internet of …, 2021 - Springer
Drones have been applied to a wide range of security and surveillance applications
recently. With drones, Internet of Things are extending to 3D space. An interesting question …

[HTML][HTML] TransTM: A device-free method based on time-streaming multiscale transformer for human activity recognition

Y Liu, W Huang, S Jiang, B Zhao, S Wang, S Wang… - Defence …, 2024 - Elsevier
RFID-based human activity recognition (HAR) attracts attention due to its convenience, non-
invasiveness, and privacy protection. Existing RFID-based HAR methods use modeling …