関連する実験動画

Updated: Jul 5, 2026

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
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仙骨搭載型IMU単体を用いた生体力学に基づいた機械学習による歩行時エネルギー消費量の推定

Jinsung Jung1, Hyerim Lim2, Hyunho Jeong1

  • 1Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.

Scientific reports
|December 30, 2025
PubMed
まとめ

新しい生体力学に基づいた機械学習手法により、歩行時のエネルギー消費量の推定が簡略化されます。単一のウェアラブルセンサーが、健康とフィットネスの追跡を支援する立脚期脚のパワーからエネルギー使用量を正確に予測します。

キーワード:
生体力学に基づいた機械学習エネルギー消費量関節パワー筋効率仙骨搭載型IMU

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関連する概念動画

Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...