TY - JOUR
T1 - Robust Synchronized Data Acquisition for Biometric Authentication
AU - Zong, Yan
AU - Liu, Shuxin
AU - Liu, Xiaoxu
AU - Gao, Shang
AU - Dai, Xuewu
AU - Gao, Zhiwei
N1 - Funding information: This work was supported in part by the National Natural Science Foundation of China under Grant 61773111 and Grant 62003218, in part by the Natural Science Foundation of Jiangsu Province, China under Grant BK20190464, in part by the Guangdong Basic and Applied Basic Research Foundation under Grant 2019A1515110234, and in part by the Shenzhen Science and Technology Program under Grant RCBS20200714114921371.
PY - 2022/12/1
Y1 - 2022/12/1
N2 - Owing to its unique, concealment and easy customization by combining different wrist and hand gestures, high-density surface electromyogram (HD-sEMG) is recognized as a potential solution to the next generation biometric authentication, which usually adopts a wireless body sensor network (BSN) to acquire the multi-channel HD-sEMG biosignals from distributed electrode arrays. For more accurate and reliable classification, biometric authentication requires the distributed biosignals to be sampled simultaneously and be well aligned, which means that the sampling jitters among the arrays need to be tiny. To synchronize data sampling clocks of a cluster of BSN nodes for biometric authentication, this article modifies the packet-coupled oscillators protocol by using a dynamic controller (D-PkCOs). This protocol only involves one-way single packet exchange, which reduces the communication overhead significantly. For the purpose of maintaining precise sampling of these BSN nodes subject to drifting clock frequency and varying delays, the dynamic controller is designed via the H∞ robust method, and it is proved that all the BSN nodes' sampling jitters are bounded. The experimental results demonstrate that the D-PkCOs protocol can keep the sampling jitters less than a microsecond in a 10-node IEEE 802.15.4 network. The application of D-PkCOs to the BSN shows that the HD-sEMG signal with a high signal-to-noise ratio is obtained, which leads to better gesture classification performance.
AB - Owing to its unique, concealment and easy customization by combining different wrist and hand gestures, high-density surface electromyogram (HD-sEMG) is recognized as a potential solution to the next generation biometric authentication, which usually adopts a wireless body sensor network (BSN) to acquire the multi-channel HD-sEMG biosignals from distributed electrode arrays. For more accurate and reliable classification, biometric authentication requires the distributed biosignals to be sampled simultaneously and be well aligned, which means that the sampling jitters among the arrays need to be tiny. To synchronize data sampling clocks of a cluster of BSN nodes for biometric authentication, this article modifies the packet-coupled oscillators protocol by using a dynamic controller (D-PkCOs). This protocol only involves one-way single packet exchange, which reduces the communication overhead significantly. For the purpose of maintaining precise sampling of these BSN nodes subject to drifting clock frequency and varying delays, the dynamic controller is designed via the H∞ robust method, and it is proved that all the BSN nodes' sampling jitters are bounded. The experimental results demonstrate that the D-PkCOs protocol can keep the sampling jitters less than a microsecond in a 10-node IEEE 802.15.4 network. The application of D-PkCOs to the BSN shows that the HD-sEMG signal with a high signal-to-noise ratio is obtained, which leads to better gesture classification performance.
KW - Clock synchronization
KW - H control
KW - packet-coupled oscillators (PkCOs)
UR - http://www.scopus.com/inward/record.url?scp=85132757368&partnerID=8YFLogxK
U2 - 10.1109/tii.2022.3182326
DO - 10.1109/tii.2022.3182326
M3 - Article
SN - 1551-3203
VL - 18
SP - 9072
EP - 9082
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 12
ER -