Ultrastretchable Wearable Strain and Pressure Sensors Based on Adhesive, Tough, and Self-healing Hydrogels for Human Motion Monitoring

2019 ◽  
Vol 11 (28) ◽  
pp. 25613-25623 ◽  
Author(s):  
Jiajun Xu ◽  
Guangyu Wang ◽  
Yufan Wu ◽  
Xiuyan Ren ◽  
Guanghui Gao
2021 ◽  
Vol 6 (40) ◽  
pp. 11130-11136
Author(s):  
Huicheng Tang ◽  
Beibei Kang ◽  
Yueyun Li ◽  
Zengdian Zhao ◽  
Shasha Song

2021 ◽  
Author(s):  
Yuping Zeng ◽  
Wei Wu

As an important device in flexible and wearable microelectronic devices, flexible sensors have engaged a lot of attention due to their wide application in human motion monitoring, human-computer interaction and...


2019 ◽  
Vol 11 (9) ◽  
pp. 9405-9414 ◽  
Author(s):  
Jin Wu ◽  
Zixuan Wu ◽  
Xing Lu ◽  
Songjia Han ◽  
Bo-Ru Yang ◽  
...  

2021 ◽  
Vol 45 (1) ◽  
pp. 314-320
Author(s):  
Yuewen Chen ◽  
Shengping Dai ◽  
Hao Zhu ◽  
Hongwei Hu ◽  
Ningyi Yuan ◽  
...  

Shape memory hydrogels offer new opportunities for the development of smart wearables due to their intelligent responsiveness.


Nanoscale ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 4925-4932 ◽  
Author(s):  
Shun-Xin Li ◽  
Hong Xia ◽  
Yi-Shi Xu ◽  
Chao Lv ◽  
Gong Wang ◽  
...  

Gold nanoparticles were assembled into highly aligned micro/nanowires for flexible pressure sensors.


Author(s):  
Wenlong Zhang ◽  
Masayoshi Tomizuka ◽  
Nancy Byl

In this paper, a wireless human motion monitoring system based on joint angle sensors and smart shoes is introduced. An inertial measurement unit (IMU) is employed in a joint angle sensor to estimate the lower-extremity joint rotation in three dimensions. Four pressure sensors are embedded in a smart shoe to measure the distribution of ground contact forces (GCFs). Zig-bee and Bluetooth modules are combined with the joint angle sensors and smart shoes respectively to make the whole system wireless. It is shown that gait phase and step length can be calculated based on the raw sensor data for gait analysis. To provide visual feedback to the users, with the consent of Apple Inc., an user interface application is developed on an iPad. Experimental results are obtained from both a healthy subject and a stroke patient for comparison. Some discussions are made about the potential use of this system in a clinical environment.


Author(s):  
Wenlong Zhang ◽  
Masayoshi Tomizuka ◽  
Nancy Byl

In this paper, a wireless human motion monitoring system is presented for gait analysis and visual feedback in rehabilitation training. The system consists of several inertial sensors and a pair of smart shoes with pressure sensors. The inertial sensors can capture lower-extremity joint rotations in three dimensions and the smart shoes can measure the force distributions on the two feet during walking. Based on the raw measurement data, gait phases, step lengths, and center of pressure (CoP) are calculated to evaluate the abnormal walking behaviors. User interfaces are developed on both laptops and mobile devices to provide visual feedback to patients and physical therapists. The system has been tested on healthy subjects and then applied in a clinical study with 24 patients. It has been verified that the patients are able to understand the intuitive visual feedback from the system, and similar training performance has been achieved compared to the traditional gait training with physical therapists. The experimental results with one healthy subject, one stroke patient, and one Parkinson's disease patient are compared to demonstrate the performance of the system.


2017 ◽  
Vol 38 (23) ◽  
pp. 1700406 ◽  
Author(s):  
Jie Cao ◽  
Xu Zhang ◽  
Canhui Lu ◽  
Yongyue Luo ◽  
Xinxing Zhang

2018 ◽  
Vol 10 (24) ◽  
pp. 20897-20909 ◽  
Author(s):  
Xin Jing ◽  
Hao-Yang Mi ◽  
Yu-Jyun Lin ◽  
Eduardo Enriquez ◽  
Xiang-Fang Peng ◽  
...  

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