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An Effective Self-Powered Piezoelectric Sensor for Monitoring Basketball Skills.
Chongle Zhao1, Changjun Jia1, Yongsheng Zhu1
1Physical Education Department, Northeastern University, Shenyang 110819, China.
Sensors (Basel, Switzerland)
|August 10, 2021
Summary
This study introduces a self-powered piezoelectric sensor for real-time human motion monitoring. The flexible sensor, utilizing polyvinylidene fluoride (PVDF), captures motion sequences and can power intelligent devices, showing promise for sports analytics and IoT applications.
Area of Science:
- Materials Science
- Biomedical Engineering
- Wearable Technology
Background:
- Self-powered sensors offer unobtrusive, real-time monitoring of human motion without external power.
- Piezoelectric materials, like PVDF, convert mechanical energy into electrical signals for sensing.
- Flexible sensors integrated with the body can capture complex biomechanical data.
Purpose of the Study:
- To develop a self-powered piezoelectric sensor for monitoring emergent human motion.
- To demonstrate the sensor's capability in analyzing complex motion sequences, such as those in basketball.
- To explore the sensor's potential for simultaneous energy harvesting to power intelligent systems.
Main Methods:
- Utilized polyvinylidene fluoride (PVDF) as the active piezoelectric material.
- Designed a multi-point sensor for capturing force order, angle change, and motion frequency.
- Integrated energy harvesting capability for charging capacitors, enabling wireless data transmission (e.g., Bluetooth).
Main Results:
- The sensor successfully monitored the sequence of motion during basketball shooting (elbow lift, arm extension, wrist compression).
- Demonstrated real-time, harmless monitoring of human motion through piezoelectric output.
- Showcased simultaneous capacitor charging for powering intelligent functions, such as Bluetooth transmission.
Conclusions:
- The developed flexible piezoelectric sensor offers a novel approach for real-time, self-powered motion monitoring.
- The sensor's multi-point control and energy harvesting capabilities present significant potential for sports big data collection.
- Emerging applications in rehabilitation monitoring, speech input, and the Internet of Things (IoT) highlight the long-term prospects of this technology.
