Robust Synchronized Data Acquisition for Biometric Authentication

Abstract

Owing to its unique, concealment and easy customisation by combining different wrist and hand gestures, High-Density surface electromyogram (HD-sEMG) is recognised 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 synchronise data sampling clocks of a cluster of BSN nodes for biometric authentication, this paper 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 10node IEEE 802.15.4 network. The application of D-PkCOs to the BSN shows that the HD-sEMG signal with a high signalto-noise ratio is obtained, which leads to better gesture classification performance.

A Review on Dynamic Hand Gesture Recognition Techniques

“…It is shown that when DO-PkCOs are applied to the BSN, an HD-sEMG signal with a high SNR value develops, which improves the performance of gesture categorization. [3] An acceptable smart glove that measures motion with an accelerometer and posture with a strain-sensitive resistive knit. In order to read data, extract features, and execute a pre-trained computational model, a microcontroller, a tiny customized PCB, and sensors are utilized.…”

Synchronization of Packet Coupled Low-Accuracy RC Oscillator Clocks for Wireless Networks

“…However, these protocols work well for crystal oscillator clocks, but can easily fail to realise synchronisation on low-accurate internal RC oscillator clocks. Note that the single-cluster topology is a popular solution for wireless BSN [1], [4]. This work possesses no need to study the time synchronisation of low-accuracy internal RC oscillator clocks in multi-hop wireless networks.…”

“…The Industrial IoT (IIoT) provides various services (e.g. distributed data acquisition [1]) in numerous industry sectors, such as manufacturing and biometric authentication. These mission-critical IIoT applications have stringent requirements on real-time data transmission and control operation command.…”

“…1 shows how the environmental temperature affects the uncalibrated internal RC oscillator clock's 32.768kHz nominal frequency. It can be seen that the frequency difference between the internal RC oscillator clock and a perfect 32.768kHz clock is about 4×10 5 ppm 1 . From [6, p. 1087], the performance of the well-tuned internal RC oscillator clock is still between −1.3 × 10 5 ppm and 6 × 10 4 ppm.…”

A Novel Image Compression Algorithm Based on Autoencoder for Biometric Template Protection Scheme

“…Currently, Data Compression (DC) technology is derived to satisfy the current requirements in terms of data quality, coding methods, data type, and applications to analyze the development of DC technology and its applications (1) . As storage and transmission capacity increases, the need for storage and transmission doubles.…”