Author:
Kim Sanghyun,Kim Joowan,Kim Mingon,Kim Seungyeon,Park Jaeheung
Publisher
Springer Science and Business Media LLC
Subject
Bioengineering,Biophysics,Biotechnology
Cited by
16 articles.
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1. A Study of Handgrip Force Prediction Scheme Based on Electrical Impedance Myography;IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology;2023-03
2. Hand Movement Classification from Spatio-Temporal Sensory Data Based on Hybrid Random Forest Deep Learning;2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta);2022-12
3. Effect of body postures on gripping force classification using a multimodal system of Electromyography and Handgrip strength measurement;2022 4th International Conference on Smart Sensors and Application (ICSSA);2022-07-26
4. Grip force prediction based on changes in Brachioradialis Muscle Impedance;2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC);2022-05-16
5. An Analysis Review : Real Measurement for Surface Electromyography (sEMG) Signal;2021 14th International Conference on Developments in eSystems Engineering (DeSE);2021-12-07