scholarly journals A Wearable Inertial Measurement Unit for Long-Term Monitoring in the Dependency Care Area

Sensors ◽  
2013 ◽  
Vol 13 (10) ◽  
pp. 14079-14104 ◽  
Author(s):  
Daniel Rodríguez-Martín ◽  
Carlos Pérez-López ◽  
Albert Samà ◽  
Joan Cabestany ◽  
Andreu Català
Sensors ◽  
2017 ◽  
Vol 17 (4) ◽  
pp. 827 ◽  
Author(s):  
Daniel Rodríguez-Martín ◽  
Carlos Pérez-López ◽  
Albert Samà ◽  
Andreu Català ◽  
Joan Moreno Arostegui ◽  
...  

2020 ◽  
Vol 14 ◽  
pp. 16-21 ◽  
Author(s):  
Jae Keun Lee ◽  
Kangil Kim ◽  
Sangmin Lee

Wearable devices which measure and transfer signals from the human body can provide useful biometric data for various biomedical applications. In this paper, we present an implementation of the advanced Inertial Measurement Unit (IMU) with wireless communication technology for mobile health monitoring. The device consists of rigid silicon-based components on a flexible/stretchable substrate for applications in epidermal electronic devices to collect precise data from the human body. Using the Bluetooth Low Energy (BLE) System-on-a-chip (SoC), the device can be miniaturized and portable, and the collected data can be processed with low power consumption. The dimensions of the implemented system are approximately 40 mm × 40 mm × 100 mm. Also, the device can be attached closely to human skin, which results in minimized signal distortion due to body movements or skin deformations. In order to achieve device flexibility and stretch ability, the interconnection wires are designed as serpentine-shaped structures on a stretchable substrate. The previously reported “cut-and-paste” method is utilized to fabricate the device that produces complex, twisty interconnections with thin metal sheets. The implemented patch-type, wireless, 6-axis IMU is expected to have potential in various applications, such as health monitoring, dependency care, and daily lifelogging.


Author(s):  
Markus Lueken ◽  
Warner R. Th. Ten Kate ◽  
Giulio Valenti ◽  
Joao Batista ◽  
Cornelius Bollheimer ◽  
...  

2021 ◽  
Vol 87 (11) ◽  
pp. 801-806
Author(s):  
Abdullah Kayı ◽  
Bülent Bayram ◽  
Dursun Zafer Şeker

The system calibration determines the position and orientation between the sensor and the navigation systems, such as boresight misalignment. Although there is much research about boresight calibration, there are not sufficient studies on the frequency of the calibration performance. The short-term stability of boresight misalignment was investigated in previous studies, but long-term stability research could not be done. It is important to emphasize that long-term stability is still open to questions. In this study, an Ultracam Eagle digital aerial camera's data from 2012 to 2016 were analyzed and the question of how often calibration should be performed was investigated. Boresight misalignment does not remain constant on a yearly basis and should be calibrated every year before the flight season. It was observed that the boresight misalignment changed dramatically when the inertial measurement unit or camera was removed from the aircraft and sent to the manufacturer for factory calibration.


Author(s):  
Xing Jin ◽  
Jason V. Clark

In this paper, we propose a method that might enable an inertial measurement unit (IMU) to self-calibrate. Self-calibration of IMU is important for: sensing accuracy, reducing manufacturing costs, recalibration upon harsh environmental changes, recalibration after long-term dormancy, and reduced dependence on global positioning systems. What is unique about our technology is that it is the first to offer post-packaged calibration of displacement, force, system stiffness, and system mass. The IMU considered in our study consists of three pairs of accelerometer-gyroscope systems located within the xy-, xz-, and yz-planes of the system. Each pair of sensors oscillates 90 degrees out of phase for continuous sensing during turning points of the oscillation where velocity goes to zero. We demonstrate self-calibration using preliminary data, and we model IMU accuracy and uncertainty through sensitivity analysis.


Author(s):  
Barbara S. Minsker ◽  
Charles Davis ◽  
David Dougherty ◽  
Gus Williams

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