Entifar, Siti Aisyah Nurmaulia Entifar, Nisa Aqilla Ellenahaya Wibowo, Anky Fitrian Kim, Jung Ha Shara, Yulia Saputro, Jonatan Martino Windi Kim, Han-Gyeol Kim, Jong-Oh Xie, Guohua Oh, Junghwan Kim, Soyeon Lim, Dong Chan Moon, Myoung-Woon Kim, Min-Seok Kim, Yong Hyun 2025-03-23T12:30:17Z 2025-03-23T12:30:17Z 2025-03-19 2025-04 1385-8947 https://pubs.kist.re.kr/handle/201004/152092 In this study, a highly stretchable and conductive hydrogel film composed of carboxymethyl cellulose (CMC), polyvinyl alcohol (PVA), and poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) was developed for application in wearable sensors, machine learning-based activity recognition, and hydrovoltaic energy generation. The optimized hydrogel exhibited a tensile strength of 0.391 MPa, an elongation at break of 303.8 %, a toughness of 0.525 MJ/m(3), a conductivity of 2.04 S/m, and a low electrical hysteresis of 0.101 % at 50 % strain. With a gauge factor of 1.034, the hydrogel accurately detected human motions and achieved 100 % classification accuracy in classifying movements using machine learning. In hydrovoltaic applications, 16 films connected in series generated 2.01 V, powering a light-emitting diode lamp. These results highlight the potential of the CMC-PVA-PEDOT:PSS-based hydrogel for next-generation wearable electronics and sustainable energy systems. English Elsevier BV Extremely-low electrical-hysteresis hydrogels for multifunctional wearable sensors and osmotic power generators Article 10.1016/j.cej.2025.160971 1 Chemical Engineering Journal, v.509 Chemical Engineering Journal 509 N scie scopus 001441853700001 2-s2.0-85219718289 Engineering, Environmental Engineering, Chemical Engineering Article Conductive Hydrogel PEDOT:PSS Cellulose Human Motion Monitoring Hydrovoltaic Energy Generation