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<p>The human hand represents a&#xa0;highly complex motor system, capable of precisely moving numerous joints via muscles and tendons through finely tuned neuromuscular control, enabling adaptation to a&#xa0;wide range of movement demands and performance of both gross and fine motor tasks. Technological advances have led to a&#xa0;variety of methods for documenting and analyzing hand movements, which encompass various approaches of imaging techniques, such as ultrasound, X‑ray and magnetoencephalography as well as camera-based and sensor-based procedures. Camera-based systems, for example, enable a targeted and detailed documentation of movements but require considerable effort, limiting their applicability in field studies. In contrast, sensor-based systems can be applied in a variety of very different environments but show a level of uncertainty in measurement accuracy. The optimal choice of measurement method greatly depends on the specific field of application. In the future, the combination of imaging, sensory and algorithmic approaches is expected to play a&#xa0;key role in enhancing both precision and practical utility, enabling occupational health questions to be addressed through advanced algorithms and neural interfaces.</p>

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Messmethoden zur Analyse von Finger- und Handbewegungen

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年4月3日

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  • Jolana Arnold,
  • Fabian Holzgreve,
  • Christian Maurer-Grubinger,
  • David A. Groneberg,
  • Daniela Ohlendorf,
  • Eileen M. Wanke

摘要

The human hand represents a highly complex motor system, capable of precisely moving numerous joints via muscles and tendons through finely tuned neuromuscular control, enabling adaptation to a wide range of movement demands and performance of both gross and fine motor tasks. Technological advances have led to a variety of methods for documenting and analyzing hand movements, which encompass various approaches of imaging techniques, such as ultrasound, X‑ray and magnetoencephalography as well as camera-based and sensor-based procedures. Camera-based systems, for example, enable a targeted and detailed documentation of movements but require considerable effort, limiting their applicability in field studies. In contrast, sensor-based systems can be applied in a variety of very different environments but show a level of uncertainty in measurement accuracy. The optimal choice of measurement method greatly depends on the specific field of application. In the future, the combination of imaging, sensory and algorithmic approaches is expected to play a key role in enhancing both precision and practical utility, enabling occupational health questions to be addressed through advanced algorithms and neural interfaces.