Construction of porous polymer films on rGO coated cotton fabric for self‐powered pressure sensors in human motion monitoring

Cellulose ◽  
2021 ◽  
Author(s):  
Shichen Zhang ◽  
Jiangtao Xu ◽  
Yue Sun
2018 ◽  
Vol 6 (48) ◽  
pp. 13120-13127 ◽  
Author(s):  
Ziqiang Zhou ◽  
Ying Li ◽  
Jiang Cheng ◽  
Shanyong Chen ◽  
Rong Hu ◽  
...  

Supersensitive all-fabric pressure sensors with a bottom interdigitated textile electrode screen-printed using silver paste and a top bridge of AgNW-coated cotton fabric are successfully fabricated for human motion monitoring and human–machine interaction.


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...


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.


2020 ◽  
Vol 269 ◽  
pp. 127686 ◽  
Author(s):  
Junbin Yu ◽  
Xiaojuan Hou ◽  
Min Cui ◽  
Ning Zhang ◽  
Shengnan Zhang ◽  
...  

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.


2020 ◽  
Vol 8 (3) ◽  
pp. 1901242 ◽  
Author(s):  
Xiaojuan Hou ◽  
Shengnan Zhang ◽  
Junbin Yu ◽  
Min Cui ◽  
Jian He ◽  
...  

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