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Kinesiological motion expert system

W A Sands1

  • 1Department of Exercise and Sport Science, University of Utah, Salt Lake City 84112, USA.

Computer Methods and Programs in Biomedicine
|December 1, 1994
PubMed
Summary
This summary is machine-generated.

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The Kinesiology Motion Expert System (KMES) simplifies learning muscle contributions to human movement. This expert system improved student performance in kinesiology classes by 15%.

Area of Science:

  • Kinesiology
  • Biomechanics
  • Human Movement Science

Background:

  • Traditional kinesiology learning relies on memorizing extensive anatomical data.
  • This method is often tedious, incomplete, and subjective.
  • Identifying specific muscle roles in human motion requires detailed anatomical knowledge.

Purpose of the Study:

  • To develop a computerized expert system for kinesiology education.
  • To streamline the process of understanding muscle contributions to human motion.
  • To enhance student learning outcomes in kinesiology.

Main Methods:

  • Development of the Kinesiology Motion Expert System (KMES) using PDC Prolog.
  • Creation of a knowledge base with 1583 human movements.
  • Implementation of KMES in undergraduate kinesiology courses.

Related Experiment Videos

Main Results:

  • KMES allows users to select joints, actions, and tension types to identify contributing muscles.
  • Users can select a muscle and tension type to view all possible contributing motions.
  • KMES implementation led to a significant 15% increase in average student final scores (P < 0.0001).

Conclusions:

  • The Kinesiology Motion Expert System (KMES) effectively aids in learning complex kinesiological concepts.
  • Computerized expert systems can significantly enhance student comprehension and academic performance in kinesiology.
  • KMES offers a more efficient and comprehensive approach to studying muscle function in human motion.