関連する実験動画

Updated: May 5, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.0K

連続した直線歩行時間を用いて,家庭やコミュニティベースの動きを識別するウェアラブルセンサを使用

Lauren Gracey-McMinn1, David Loudon2, Alix Chadwell3

  • 1Centre for Human Movement and Rehabilitation, School of Health and Society, University of Salford, Salford M6 6PU, UK.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ

この研究では ウェアラブルセンサーを使って コミュニティの参加を客観的に測定し 家庭とコミュニティの活動を 高い精度で区別する 新しいモデルを開発しました これは主観的な報告を超えて,正確な,現実世界のデータを提供することによって,機能的な回復の評価を進める.

キーワード:
アクセロメトリーアクティブPAL活動分類コミュニティの参加モビリティの評価客観的な測定物理的な行動の監視リハビリテーションの結果

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