Intelligent interaction system based on multimodal conformal triboelectric nanogenerator patch for disabled sports and life
Source abstract
Abstract
Intelligent interaction technology based on advanced sensing units has become a research hotspot. In this paper, an intelligent interaction system (IIS) based on a multimodal conformal triboelectric nanogenerator patch (MCTP) is reported for sports monitoring and life promotion of the disabled. This IIS consists of a cloud-based smart sports recognition program and a smart life application. The porous micro-reinforced structure of polyurethane (PU) Sponge & Ecoflex, and the surface modification of PTFE by coating it with MXene endows the MCTP with excellent electrical properties. It shows good angle and force sensitivities of 1.1 V/° and 1.61 V/N, respectively, and has an ultra-fast response time of 15 ms, meeting the needs of human motion monitoring. The MCTP can also capture the mechanical energy, producing a maximum output power of 139 µW. Compared with the commercial inertial measuring unit (IMU), the MCTP shows better consistency in human joint angle sensing. A precise analysis of wheelchair curling sports monitoring points is achieved by combining the MCTP and the human anatomy model. The cloud-based smart sports recognition program utilizes machine learning to achieve visual feedback on the three throwing technologies of draw, takeout and clearing. In addition, the developed smart life application uses a high-sensitivity MCTP-sensor array design to achieve a variety of smart home interactions through simple finger touches. Overall, the IIS integrates the three major functions of smart sports sensing, energy capture, and smart home control, providing important application prospects in the fields of smart sports and human-computer interaction for the disabled.
Source: expertdata · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Tactile and Sensory Interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (72)
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