A novel wearable biometric capture system

Abstract

In the present paper we introduce a novel wireless system capable of simultaneously track and monitor the motion of the body and the associated muscular stress. The device provides with an array of four inertial and magnetic measurement units combined with up to 32 independent high sensitivity ADC channels. An embedded computing system does allow the high speed (4 KHz) EMG acquisition and filtering, combined with (100Hz) motion reconstruction and relevant features (20Hz) detection. The device connects to any receiving host using a portable server architecture and an extensible computing system which uses a web interface and a plugin architecture based on shared library.The device has been conceived to monitor body activities in application on-the-go, where the use of wired devices is not suitable and the need for a strict synchronizations among the motion reconstruction and the myo-electric signals is fundamental. In what follows we will describe the general architecture of the system, the embedded algorithms for motion and EMG reconstruction and the software architecture of the host system.

Wearable Sensor Network for Biomechanical Overload Assessment in Manual Material Handling

“…Kinematic data are gathered through suits composed of IMUs. Three options are available, a custom device [ 31 ], and two commercial ones, that is, the XSens MVN (Xsens Technologies, Enschede, Netherlands), and the Perception Neuron (Noitom Ltd., Beijing, China). Muscular activity is recorded using either a custom system or a commercial one, that is, the Shimmer3 EMG (Shimmer Research Ltd., Dublin, Ireland).…”

“…The first having better performances, but the latter being more robust. The custom device ( Figure 4 a), an evolution of the device presented in Reference [ 31 ], is able to monitor the effort level of the operator’s arms employing eight monopolar sEMG signal channels and an onboard filtering algorithm. Besides, the signals can be monitored in real-time on an external unit thanks to the software specifically developed that wireless (Wi-Fi) receives the EMG data together with the timecode.…”

“…The device has technical specifications ( Table 2 ) comparable to commercial systems, it has a common-mode rejection ratio (CMRR) of −115 dB, a Signal to Noise Ratio (SNR) between 15 and 16 dB, a resolution of 24 bits, a maximum acquisition frequency of 32 kHz, a gain of 1 to 12, and the small dimensions and weight makes it comfortable and easy to wear. This device is a new version of the one presented in Reference [ 31 ] where there was no distinction between the central and the interface unit, the sEMG channels were 32, the wireless communication was via Bluetooth.…”

Augmented reality-aided tele-presence system for robot manipulation in industrial manufacturing

“…On the operator side information about the user's motion and muscle effort are gathered by the wearable device presented in [Avizzano et al 2014]. Three IMUs and a surface EMG sensor with 8 channels are attached to the user's arm.…”