The development of advanced technologies for wireless data collection and the analysis\nof quantitative data, with application to a humanâ??machine interface (HMI), is of growing interest.\nIn particular, various wearable devices related to HMIs are being developed. These devices require a\ncustomization process that considers the physical characteristics of each individual, such as mounting\npositions of electrodes, muscle masses, and so forth. Here, the authors report device and calculation\nconcepts for flexible platforms that can measure electrical signals changed through electromyography\n(EMG). This soft, flexible, and lightweight EMG sensor can be attached to curved surfaces such as\nthe forearm, biceps, back, legs, etc., and optimized biosignals can be obtained continuously through\npost-processing. In addition to the measurement of EMG signals, the application of the HMI has\nstable performance and high accuracy of more than 95%, as confirmed by 50 trials per case. The result\nof this study shows the possibility of application to various fields such as entertainment, the military,\nrobotics, and healthcare in the future.
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