2023
DOI: 10.1016/j.nanoen.2023.108230
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Human motion recognition by a shoes-floor triboelectric nanogenerator and its application in fall detection

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Cited by 32 publications
(16 citation statements)
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“…The signals of H in molecular chains of raw BIIR almost disappeared after the reaction with alkylimidazoles. The low signal intensities of H 4 and H 6 detected in the spectra of BIIR were assigned to allylic halide functionality. , Meanwhile, the new signals of H indicated the successful grafting reaction of BI into BIIR molecular chains. , Owing to the aggregation behavior of ionic pairs, the formation of ionic clusters led to the creation of a dynamic ionic cross-linking network in the system (proved by the curing test in Figure S1).…”
Section: Results and Discussionmentioning
confidence: 96%
See 1 more Smart Citation
“…The signals of H in molecular chains of raw BIIR almost disappeared after the reaction with alkylimidazoles. The low signal intensities of H 4 and H 6 detected in the spectra of BIIR were assigned to allylic halide functionality. , Meanwhile, the new signals of H indicated the successful grafting reaction of BI into BIIR molecular chains. , Owing to the aggregation behavior of ionic pairs, the formation of ionic clusters led to the creation of a dynamic ionic cross-linking network in the system (proved by the curing test in Figure S1).…”
Section: Results and Discussionmentioning
confidence: 96%
“…Flexible and wearable strain sensors have shown tremendous potential for various emerging fields, such as soft robotic skin, , human–machine interface, health diagnosis, , human motion detection, and so forth. For these sensors to function as smart wearables, high strain sensitivity under both small and large strains is necessary to accurately monitor physiological activity-induced deformations, such as heartbeats and pulse, as well as substantial human activity-induced deformations, such as muscle and joint movements.…”
Section: Introductionmentioning
confidence: 99%
“…A number of sensing technologies and data protocols generally for smart wears have been developed over the years. These sensing technologies include piezoelectricity (Akerfeldt et al , 2014), piezoresistive sensing (Huang et al , 2008), resistive sensing (Kim et al , 2018), impedance, capacitance, inductance (Christopoulos et al , 2014), triboelectric nanogenerator (Wang et al , 2023) and fiber optics (Fresnel reflection and fiber Bragg grating; Raji et al , 2019b). Others include ultrasonic sensing, Global Positioning System (GPS), radio frequency identification technology (RFID) information grid (Duroc and Tedjini, 2018), accelerometers, inertial measurement units (IMUs), Bluetooth for connectivity and reverse electrowetting and so on.…”
Section: Applicable Sensing Technologiesmentioning
confidence: 99%
“…Wearable electronics and wireless communication network gain the rapid development, which is making a difference in the lifestyle of people. The stretchable and flexible energy devices that provide energy for the mobile wearable devices and wireless communication network are more significative, gaining widespread attention. The traditional batteries with disadvantages of large size, inadequate safety, unsatisfactory flexibility, and frequent recharging have not met the requirements of wearable electronics. , Thus, it is highly necessary to develop a smart, integrated, and flexible power supply. Triboelectric nanogenerators (TENGs), based on the coupling of triboelectrification and electrostatic induction, can effectively scavenge the manifold high-entropy mechanical energy and generate electrical energy. Furthermore, the one-dimensional fiber-based TENGs (F-TENGs) arise rapidly to break through the limitations of the traditional airtight film-based TENGs for the wearable applications. , The F-TENG possesses the characteristics of good breathability, comfort, and flexibility, which make it more suitable to wear. , Accompanied by human body motion, F-TENGs can successfully harvest biomechanical energy.…”
Section: Introductionmentioning
confidence: 99%