Details

Autor(en) / Beteiligte

• He, Yilin
• Ni, Haoran
• Mishra, Deepak
• Peng, Shuhua
• Phan, Hoang-Phuong
• Boyer, Cyrille
• Wang, Chun H.
• Zhang, Jin

Titel

Advancing triboelectric human machine interfaces with core-sheath nanocomposite fibres: Enhanced flexibility and motion identification via machine learning

Ist Teil von

• Nano energy, 2024-08, Vol.127, p.109737, Article 109737

Ort / Verlag

Elsevier Ltd

Erscheinungsjahr

2024

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The rapid development of triboelectric nanogenerators (TENGs) has led to sustainable sensing applications as triboelectric interfaces for activity/pattern recognition in human machine interaction (HMI). In this work, core-sheath nanofibres were synthesized and employed as triboelectric materials for constructing new TENGs. These electrospun fibres of novel design consist of a nanocomposite core comprised of polystyrene (PS) and molybdenum disulfide (MoS2) nanoplatelets, and a sheath made of poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP). Compared to high performance TENGs based on neat PVDF-HFP nanofibres tribolayer, these new TENGs achieved open circuit voltage of 1944 V and short-circuit current of 40.3 μA, yielding a total improvement of 284% and 783%, respectively, attributed from the highly efficient charge storage and binding capabilities from the MoS2 nanoplatelets and the PS core. To harness the remarkable performances of these new TENGs, a touch input component was developed, designed to work in conjunction with machine learning algorithms. The triboelectric interfaces exhibited high accuracy in user identification, capable of recognizing individual users with up to 86% average accuracy, under identical press patterns applied by different users. This paves the way for future development of machine learning assisted HMI enabled by TENGs for next generation sustainable communication networks. [Display omitted] •PS core/ PVDF-HFP sheath nanofibres with MoS2 nanosheets in the core show excellent triboelectric properties.•284% increase in open circuit voltage and 783% increase in short-circuit current were achieved over PVDF-HFP fibre TENGs.•Highly efficient charge storage and binding capabilities from the MoS2 fillers and PS core contributed to the enhancement.•A touch input component was developed, designed to work in conjunction with machine learning algorithms.•The triboelectric interfaces exhibited high average accuracy (up to 86%) in user identification.