Technology

Self-powered fabrics help you stay in the right posture in real time with the help of machine learning

This study proposes a portable and convenient self-powered sitting monitoring vest (SPMV) that reminds users to maintain the correct posture during sustained work. SPMV exhibits high sensitivity, excellent mechanical elasticity, excellent breathability, and 96.6% attitude recognition accuracy using a random forest classifier. Credit: Nano Research

Posture is an important part of health. Prolonged poor posture, such as crouching or leaning to one side, can cause pain and discomfort. It has also been shown to increase the risk of cardiovascular disease, visual impairment, stroke and musculoskeletal disorders. Solutions are needed to help people adjust their posture to prevent these problems and improve the health of students and those with sedentary careers. Current monitoring solutions are limited and cannot be widely adopted. To solve this problem, researchers have developed a comfortable and durable self-powered fabric that can be combined with sensors to correct posture in real time.

Self-powered fabric Triboelectric nanogenerator (TENGs), use motion to collect the energy needed to power the attitude monitoring sensor. The data collected by the sensors is processed by an integrated machine learning algorithm. This algorithm provides immediate feedback and alerts the wearer when posture needs to be adjusted.

This technique is described in a paper published on May 24th. Nano research..

Kai Dong, a deputy researcher at the Beijing Nanoenergy and Nanosystems Institute at the Chinese Academy of Sciences, said, “People often sit in various bad postures in their daily lives, causing pain and discomfort. “. “This’sitting illness’can be alleviated by wearing certain types of clothing made with smart textiles if the individual can observe the sitting position in real time. With the self-powered sitting monitoring vest we have developed, users can see their posture. Change the screen and make any necessary adjustments. “

Special fabrics are made by weaving nylon fibers and conductive fibers. As the wearer of the fabric moves, the fibers expand and contract. Electricity is generated by the continuous movement and contact between the two fibers. This is a phenomenon known as contact electrification.

The fabric is elastic, durable, washable, breathable and comfortable to wear for extended periods of time. This is ideal for long-term posture monitoring. According to Zhong Lin Wang, a high tower chair in the Faculty of Materials Science and a professor of regent at Georgia Institute of Technology, factors such as durability and comfort are factors in how people use e-textiles. It is important.

“Flexibility, elasticity and bending ability all affect the comfort of a wearable sensor,” Wang said. “But these factors also affect the behavior of the fabric. The fabric exhibits better elasticity due to its knitting structure, increasing output and producing higher voltage.”

In addition to the comfort of the fabric, another important aspect is the reliability of posture monitoring.The sensor is sewn directly fabric It is located along the cervical, thoracic, and lumbar vertebrae. These positions help collect data about the most common leaning positions, such as hump posture.Data collected by sensor Then it is interpreted by a machine learning algorithm. This algorithm processes information about how the wearer is sitting, classifies the sitting position, and monitors how the posture is corrected when prompted.This system can accurately recognize the wearer posture 96.6% chance.

With this combination of wearability and accuracy, researchers find that this self-powered monitoring vest helps students and people with sedentary work avoid pain, discomfort, and long-term health problems. I hope that. “We believe that TENG-based self-powered monitoring vests provide long-term, non-invasive and reliable healthcare solutions. monitoring“This will extend the use of triboelectric-based wearable devices,” said Don.


Technical experts create wearable materials that can generate electricity by drawing energy from body movements


For more information:
Yang Jiang et al, Knit Self-Power Sensing Textiles for Monitoring and Correcting Sitting Postures for Machine Learning Assistance, Nano research (2022). DOI: 10.1007 / s12274-022-4409-0

Provided by Tsinghua University Press

Quote: Self-Powered Fabric Helps Machine Learning (May 25, 2022) Obtained May 28, 2022 from https: //techxplore.com/news/2022-05-self-powered-fabric-posture Helps to correct posture in real time by borrowing-real-machine.html

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