Article
Automation & Control Systems
Jiaoying Jiang, Kok-Meng Lee
Summary: This article presents a novel magnetic tensor sensor (MTS) for tracing human joint trajectory and a physics-based measurement model implemented on an artificial neural network (ANN). Experimental results show that the system can calibrate the sensor parameters, consider the environmental magnetic effects, and be trained with different data.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Engineering, Electrical & Electronic
Guangzhou Hu, Jiaoying Jiang, Kok-Meng Lee
Summary: This article introduces a 3-DOF magnetic sensor, called a pantographic exoskeleton (PGE) sensor, which can monitor the internal human-joint motion in real time. The PGE sensor, equipped with two sets of embedded magnetic sensors and a permanent magnet, can independently measure the translations and joint angle. Two sensor estimation methods, model-based and artificial neural network (ANN), are experimentally analyzed. The PGE sensors are evaluated for sit-to-stand exercises, and the results are compared with a commercial VICON motion capture system and a 4-DOF platform manipulated to follow a specified internal motion trajectory of an ankle joint.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Yaqing Feng, Xiangyu Chen, Qingxun Wu, Guofeng Cao, David McCoul, Bo Huang, Jianwen Zhao
Summary: Compared to rigid sensors, soft stain sensors are more suitable for measuring human joint motion due to their comfort. A quick and automatic self-calibration method for soft strain sensors has been proposed in this paper, resulting in small measurement errors and feasibility in engineering applications.
IEEE SENSORS JOURNAL
(2021)
Article
Chemistry, Analytical
Jakub Kaszynski, Cezary Baka, Martyna Bialecka, Przemyslaw Lubiatowski
Summary: This study evaluated the reliability and validity of the RSQ Motion sensor in measuring the active range of motion of the shoulder, comparing it with the Propriometer and electronic goniometer. The results showed that the RSQ Motion sensor had good correlation and reliability with the goniometer, and demonstrated high inter-rater and intra-rater reliability.
Article
Engineering, Electrical & Electronic
Giovanni Saggio, Alexandre Calado, Vito Errico, Bor-Shing Lin, I-Jung Lee
Summary: Sensory gloves are capable of measuring finger movements and are useful in multiple applications. This study proposes a testing procedure for assessing the measurements under dynamic conditions using two types of sensory gloves. The results show the feasibility of measuring dynamic finger movements and the differences in measurement repeatability and reliability between the two types of gloves.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Chemistry, Analytical
Mitchell Ekdahl, Alex Loewen, Ashley Erdman, Sarp Sahin, Sophia Ulman
Summary: This study evaluates IMUs as an alternative method to measure joint angle range of motion and compares it to optical motion capture. The results suggest that IMUs can be a viable alternative for sport-specific lower-extremity ROM measurement, but the selection of sensor-to-segment calibration methods should be based on the specific tasks and variables of interest.
Review
Chemistry, Analytical
Xinxin Huang, Yunan Xue, Shuyun Ren, Fei Wang
Summary: This paper provides a systematic review of the current status of wearable sensing systems for human motion capture and posture recognition. It summarizes the monitoring indicators related to posture changes and analyzes the characteristics of different sensors. The future research in this field will focus on monitoring accuracy, data security, wearing comfort, and durability.
Article
Engineering, Electrical & Electronic
Golda Nguyen, Julie Maclean, Leia Stirling
Summary: This study presents an algorithm for estimating torso orientation and individualized metric of compensatory torso motion using an IMU worn on the sternum to evaluate occupational therapy tasks. IMUs can be used to quantitatively assess compensatory movements and convey operationally relevant information to clinicians.
IEEE SENSORS JOURNAL
(2021)
Review
Engineering, Biomedical
Quanxia Lyu, Shu Gong, Jialiang Yin, Jennifer M. Dyson, Wenlong Cheng
Summary: This review summarizes recent advances in soft wearable materials and devices, highlighting the need for novel materials in future healthcare devices and current monitoring and therapy systems.
ADVANCED HEALTHCARE MATERIALS
(2021)
Article
Engineering, Electrical & Electronic
Yu Ling, Xiang Chen, Yuwen Ruan, Xu Zhang, Xun Chen
Summary: This study compares hand gesture recognition using ACC and PPG sensors, finding that PPG signals are more suitable for implementing gesture interactions on wearable devices. The research shows that PPG signals are less affected by motion noise and perform better in recognizing finger-related gestures.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Chenghong Lu, Zeyang Dai, Lei Jing
Summary: Inertial sensor motion capture system has advantages of versatility, portability, and affordability, but its accuracy is lower than the optical system. This article proposes a method that includes orientation estimation and calibration to achieve accurate joint angle estimation. Experiments show that the proposed system improves joint measurement accuracy compared with existing inertial sensor-based systems.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Chemistry, Physical
Thao Nguyen, Michael Chu, Robin Tu, Michelle Khine
Summary: Encapsulation is introduced to improve the stretchability, linear response, and robustness of soft strain sensors, making them more adaptable to body movement with increased mechanical robustness and stability.
Article
Chemistry, Analytical
Paolo Bellitti, Michela Borghetti, Nicola Francesco Lopomo, Emilio Sardini, Mauro Serpelloni
Summary: More than 500,000 injuries involving the anterior cruciate ligament (ACL) are diagnosed in Europe every year. To assess ACL injuries quantitatively, a smart knee brace equipped with strain sensors and inertial measurement units (IMUs) was developed. Preliminary findings suggest that the smart brace can effectively discriminate possible ACL lesions.
Article
Computer Science, Information Systems
Md Sanzid Bin Hossain, Joseph Dranetz, Hwan Choi, Zhishan Guo
Summary: Measurement of human body movement is essential in biomechanical analysis. In this study, a reduced number of IMU sensors and a machine learning algorithm were used to estimate joint kinematics in different walking conditions. Five deep learning networks were proposed and an ensemble framework called DeepBBWAE-Net was developed to improve kinematic predictions. The results showed that DeepBBWAE-Net outperformed individual base models, achieving lower Root Mean Square Error (RMSE) for joint kinematics in various walking conditions. This is the first study to use a reduced number of IMU sensors for kinematic estimation in multiple walking environments.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Engineering, Environmental
Minghui Cao, Jie Su, Shuangqing Fan, Hengwei Qiu, Dongliang Su, Le Li
Summary: Wearable piezoresistive sensors based on three-dimensional graphene offer advantages such as simple preparation, low power consumption, and convenient signal acquisition, showing great potential in applications like human motion detection and health monitoring.
CHEMICAL ENGINEERING JOURNAL
(2021)
