Progress in triboelectric nanogenerators as self-powered smart sensors

By Nannan Zhang, Changyuan Tao, Xingyan Fan, Jun Chen. 2017

181 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electronic, Optical and Magnetic Materials, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/149be1ff579ca0f54499e98d9e4873956bafd3b5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Uttandaraman Sundararaj

In Electronic, Optical and Magnetic Materials

1. Uttandaraman Sundararaj
2. Mohammed H. Al-Saleh

In Polymers and Plastics

1. Uttandaraman Sundararaj

Citations in the corpus

• The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review (2023, methodology): “They can collect energy from a wide range of mechanical motions, such as human motion, vibration, and rotation [85].”
• Design, manufacturing and applications of wearable triboelectric nanogenerators (2021, unknown): “In this chapter, we will highlight the signal conversion ability of wearable TENGs, that is, TENGs can directly convert rich information behind human body into more intuitive and useful electrical signals [106 – 110].”