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.
Highlights
Flexible conductive materials can potentially be applied in human motion sensors, health monitoring for medical monitoring systems such as respiratory rate, heart rate and body posture to human–machine interface and wearable integrated devices that have attracted widespread attention [1,2,3,4,5,6,7,8,9,10]
In the design of a strain sensor corresponding to human movement, the following key factors must be considered—large strain range, fast recovery deformation and high sensitivity [15,16,17]
This paper reports a sensor made of highly elastic knitted sweatpants with high sensitivity and stability during large-strain movement such as walking
Summary
Flexible conductive materials can potentially be applied in human motion sensors, health monitoring for medical monitoring systems such as respiratory rate, heart rate and body posture to human–machine interface and wearable integrated devices that have attracted widespread attention [1,2,3,4,5,6,7,8,9,10]. Some special sensors (such as electromyographic signal) can be used to sense the activity of muscle and have great potential for human movement detection [5,18,19]. Most of these systems require additional hardware that increases the costs, reduces user comfort and are not integrated into other wearable devices [20]. Some highly sensitive strain sensors made of nanomaterial and graphene materials can detect small movements, such as vocal cord vibration detection, pulse detection
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