Deep-learning-assisted printed liquid metal sensory system for wearable applications and boxing training
作者机构:College of Mechanical EngineeringZhejiang University of Technology310023 HangzhouChina Department of Mechanical EngineeringUniversity of Colorado Boulder80309 BoulderColoradoUSA College of Information EngineeringZhejiang University of Technology310023 HangzhouChina
出 版 物:《npj Flexible Electronics》 (npj-柔性电子(英文))
年 卷 期:2023年第7卷第1期
页 面:177-186页
核心收录:
学科分类:08[工学] 080502[工学-材料学] 0805[工学-材料科学与工程(可授工学、理学学位)]
基 金:J.X.acknowledges financial support from the NSF,USA(CMMI-1762324) Facebook.Y.Q.and H.W.acknowledge financial support from the National Natural Science Foundation of China(Grant no.12202388,11672269,11972323) China Postdoctoral Science Foundation(Grant no.2022M710129,2023T160581) Zhejiang Provincial Natural Science Foundation of China(Grant no.LQ22A020009,LR20A020002) the“Pioneer”and“Leading Goose”R&D Program of Zhejiang(Grant no.2023C01051)
摘 要:Liquid metal(LM)exhibits a distinct combination of high electrical conductivity comparable to that of metals and exceptional deformability derived from its liquid state,thus it is considered a promising material for high-performance soft ***,rapid patterning LM to achieve a sensory system with high sensitivity remains a challenge,mainly attributed to the poor rheological property and ***,we report a rheological modification strategy of LM and strain redistribution mechanics to simultaneously simplify the scalable manufacturing process and significantly enhance the sensitivity of LM *** incorporating SiO_(2)particles into LM,the modulus,yield stress,and viscosity of the LM-SiO_(2)composite are drastically enhanced,enabling 3D printability on soft materials for stretchable *** sensors based on printed LM-SiO_(2)composite show excellent mechanical flexibility,robustness,strain,and pressure sensing *** sensors are integrated onto different locations of the human body for wearable ***,by integrating onto a tactile glove,the synergistic effect of strain and pressure sensing can decode the clenching posture and hitting strength in boxing *** assisted by a deeplearning algorithm,this tactile glove can achieve recognition of the technical execution of boxing punches,such as jab,swing,uppercut,and combination punches,with 90.5%*** integrated multifunctional sensory system can find wide applications in smart sport-training,intelligent soft robotics,and human-machine interfaces.