scholarly journals A Wireless Human Motion Monitoring System for Smart Rehabilitation

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.

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.


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.


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.


2015 ◽  
Vol 811 ◽  
pp. 353-358
Author(s):  
Gheorghe Daniel Voinea ◽  
Gheorghe Mogan

Monitoring human motion with magnetic and inertial measurement units is a complex task and there are many factors that must be taken into consideration. In this work, a wearable system for monitoring scoliosis using three inertial measurement units (IMUs) is introduced. The proposed solution can be used indoor and is focused on using the roll angle for measuring lateral movement of the spine, which characterizes the scoliosis spinal disorder.


2014 ◽  
Vol 541-542 ◽  
pp. 1398-1402
Author(s):  
Jae Hoon Lee ◽  
Takashige Yano ◽  
Tomoshi Yamashita ◽  
Shingo Okamoto

This paper presents a novel sensory system for monitoring situations of riding bicycle. The proposed system can be used to measure and save in real-time not only the motion of bicycle rider but also the situation near the vehicle. Multiple inertial sensors being attached to human body are employed to measure the motion of the rider. Two laser scanners installed in the front of the bicycle and two cameras of wide view angle were used to detect the environmental change including pedestrians and static/dynamic objects. The system configuration was designed for the synchronization of multiple sensors according to the position information of the vehicle. Particularly, the human motion of riding bicycle is captured with the system and analyzed with the measurement data in this paper.


2021 ◽  
Vol 45 (1) ◽  
pp. 208-216
Author(s):  
Zhonghua Zhao ◽  
Xiang Yuan ◽  
Yicheng Huang ◽  
Jikui Wang

Conductive hydrogels are promising flexible conductors for human motion monitoring.


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