Triboelectric bending sensor based smart glove towards intuitive multi-dimensional human-machine interfaces

Recent advances in stretchable, wearable and bio-compatible triboelectric nanogenerators

“…A summary of the effect of the abovementioned parameters on TENGs is shown in Table 1. With the increase of the distance between the skin and the triboelectric layer of the S-TENG (described in Section 3) from 1 to 20 mm, the voltage rises from À38 to À201 V. 27 In other research, the effect of PDMS thickness (25,50,100,200, and 300 mm) on the charge transfer of the SI-TENG 85 (described in Section 3) was investigated by applying a force of 8 N. The results showed that V OC , I SC , and Q SC increase initially and then reduce. They found that the SI-TENG with a PDMS thickness of 50 mm has the best output of V OC of 35 V, Q SC of 13 nC, and I SC of 0.08 mA.…”

“…A human-machine interface (HMI) system has been applied vastly in life with the advancement of artificial intelligence. Different types of HMI systems based on nanogenerators have been developed such as the electronic skin (e-skin), 14,27,30,34,36,38,85,165,170,[190][191][192][193][194] smart keyboards, [195][196][197][198][199][200][201][202] voice control devices, [203][204][205] body motion sensors, 14,112,164,167,[206][207][208][209][210][211][212][213][214][215][216] and robotic control. 31,217 7.1.1.…”

“…According to the results of current and voltage at different bending angles (401, 601, 801, and 1001), the BA-TENG could generate a stable and uniform output signal. 200 7.1.3. Body motion sensors.…”

“…(25,50,100,200, and 300 mm) at 8 N -V OC , I SC , and Q SC increase initially and then reduce -SI-TENG with a PDMS thickness of 50 mm has the best output of V OC of 35 V, of 13 nC, and I SC of 0.08 mA Increasing thickness of Ti sputter coaters (1, 3, and 5 nm)…”

Machine-Learning-Aided Self-Powered Assistive Physical Therapy Devices

“…As the world marches into the era of the Internet of Things (IoT) and 5G technologies, APT devices have become more interactive and have the potential to provide user-generated data continuously at the Gigabyte level per person per day. − Culling effective parameters from such large data sets for APT devices has been particularly challenging for practical employment. Machine learning (ML) is a widely used artificial intelligence (AI) technology for big data processing. − Machine-learning boundaries are a deep-learning domain that can classify and process a large amount of sensor data. − A deep-learning method is an algorithm that can mimic human cognitive processes. − It can learn rules from data and automatically improve the learning process without explicit programming. Typically, large-scale, deep-learning systems require 1 million or more data points because AI technology commands a large amount of data to train its model.…”