ArticleSensors (Basel, Switzerland)2019
Human Motion Recognition of Knitted Flexible Sensor in Walking Cycle.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Evaluation of Electrical Characteristics of Weft-Knitted Strain Sensors for Joint Motion Monitoring: Focus on Plating Stitch Structure.Sensors (Basel, Switzerland) · 2024Article
- Seamless Weft Knit Vest with Integrated Needle Sensing Zone for Monitoring Shoulder Movement: A First Methodological Study.Materials (Basel, Switzerland) · 2023Article
- Wearable Sensors and Smart Devices to Monitor Rehabilitation Parameters and Sports Performance: An Overview.Sensors (Basel, Switzerland) · 2023Review
- Recent Progress in Self-Powered Wireless Sensors and Systems Based on TENG.Sensors (Basel, Switzerland) · 2023Review
- Textile Knitted Stretch Sensors for Wearable Health Monitoring: Design and Performance Evaluation.Biosensors · 2022Article
- Article
- An Effective Self-Powered Piezoelectric Sensor for Monitoring Basketball Skills.Sensors (Basel, Switzerland) · 2021Article
- A Flexible Two-Sensor System for Temperature and Bending Angle Monitoring.Materials (Basel, Switzerland) · 2021Article
- Review of Graphene-Based Textile Strain Sensors, with Emphasis on Structure Activity Relationship.Polymers · 2021Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Knitted fabric sensors have been widely used as strain sensors in the sports health field and its large strain performance and structure are suitable for human body movements. When a knitted structure is worn, different human body movements are reflected through the large strain deformation of fabric structure and consequently change the electrical signal. Here, the mechanical and electrical properties of highly elastic knitted sweatpants were tested under large strain. This sensor has good sensitivity and stability during movement. Compared with traditional motion monitoring, this technique divides the walking cycle into two stages, namely, stance and swing phases, which can be further subdivided into six stages. The corresponding resistance characteristic values can accurately distinguish the gait cycle. Analysis on hysteresis and repeatability revealed that the sensor exhibits a constant electrical performance. Four kinds of motion postures were predicted and judged by comparing the resistance characteristic range value, peak value calculation function and time axis. The measured sensor outputs were transferred to a computer via 4.0 Bluetooth. Matlab language was used to detect the status through a rule-based algorithm and the sensor outputs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.