Research Article
RFlow-ID: Unobtrusive Workflow Recognition with COTS RFID
@INPROCEEDINGS{10.4108/eai.7-11-2017.2273521, author={Jinshi Zhang and Qian Zhang and Dong Li and Run Zhao and Dong Wang}, title={RFlow-ID: Unobtrusive Workflow Recognition with COTS RFID}, proceedings={14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services}, publisher={ACM}, proceedings_a={MOBIQUITOUS}, year={2018}, month={4}, keywords={workflow recognition cots rfid vq-hmm}, doi={10.4108/eai.7-11-2017.2273521} }- Jinshi Zhang
Qian Zhang
Dong Li
Run Zhao
Dong Wang
Year: 2018
RFlow-ID: Unobtrusive Workflow Recognition with COTS RFID
MOBIQUITOUS
ACM
DOI: 10.4108/eai.7-11-2017.2273521
Abstract
Workflow recognition is a key technique in the field of activity recognition with benefits of monitoring the step being performed in the workflow, detecting the missing step, and providing assis- tance to the performer of the workflow, among others. In this paper, we present an unobtrusive workflow recognition system called RFlow-ID, which is the first device-free, battery-free and privacy- preserving workflow recognition system based on RFID technique. RFlow-ID perceives the use and movement of associated objects in the workflow using fine-grained phase information extracted from low-level RF signal, and infers the most likely sequence of work- flow activities via a VQ-HMM model. We implement RFlow-ID on COTS RFID devices and evaluate it through a common biomedical experiment. The results validates the high recognition accuracy and robustness of our system.