디지털 머신 기반 근육군별 1RM 프로파일 모델: 디지털 케이블 머신 중심으로

초록

Digital exercise machines record movement-level data, but these records do not directly represent a user’s strength condition by muscle group. This paper proposes a muscle group-specific one-repetition maximum (1RM) profile model that converts multiple movement 1RM values into functional muscle-group state values. Upper-body data from five participants were collected using a digital cable machine. Movement 1RM values were estimated from load and repetition records, and profiles for five muscle groups were calculated using a movement–muscle-group contribution matrix and nonnegative least squares. The profiles were used to estimate 1RM values for three unmeasured movements and were re-estimated after new observations were added. Integrated re-estimation reduced the mean absolute reconstruction error from 7.08 to 5.61 kg and the root mean square error from 8.28 to 6.80 kg. The model can support muscle-group comparison and initial load setting in digital exercise environments.

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