Suzuki R1, Kurita Y2
1Bunkyo Gakuin University, Faculty of Health Science Technology, Fujimino, Japan, 2Tokoha University, Health Science, Shizuoka, Japan
Background: To evaluate the patients' gross motor function, we use visual motion analysis as qualitative assessment. It is well recognized that students have some difficulties in learning techniques of visual motion analysis of patients' movements. Some reported that differences in eye scan data between physical therapist (PT) and PT student exit. Nonetheless, in physical therapy educational program, we have few learning methods to teach visual analytical ability systematically and the opportunity that every student operates the eye-tracking device is not so often. We consider that the causes were the high cost and the less number of the device,which students can operate in the classroom.
Purpose: The aim of this study is to develop the low cost eye-tracking system that can be tracked the eye movement and whether it is possible to use as an educational tool of the physical therapist students.
Methods: We have developed low cost eye tracking system that can be scanned eye movement. Details on the present proposed device including the personal computer(PC), Sentry Gaming Eye Tracker(SteelSeries),Kinovea 0.8.15(video analyze software). The cost of the eye-tracker device was about 300 dollars other than PC. Before the experiment, we had recognized its calibration.
Subjects are the voluntary recruited 8 students in physical therapy department of the university.
Procedure: We prepared the short video of gait.
1) We scanned eye movement's data of PT(the seventh clinical experience years) during visual gait analysis of the video.
2) PT Students' eye movements' data were scanned during visual gait analysis of the video. Next, Students were training with eye-tracking data of PT (the seventh clinical experience years).
They were verbally cued to imitate PT's recorded data in 5 minutes. After that, PT students' eye movements' data during visual gait analysis of the video were scanned again.
Also, after the experiment, the questionnaire was done to the students.
Results: The students´ average of the eye scan data of standard deviation in x-axis were 6.25±2.36, 9.68±4.38(before training, after the training). The average of the eye scan data of standard deviation in y-axis were 24.7±11.7, 34.9±14.1(before training, after the training). We recognized a statistically significant difference in in y-axis(p>.05). The eye scan data of PT (the seventh clinical experience years) were larger than PT students' data in both x-axis and y-axis.
Conclusion(s): The standard deviation of PT students' eye scan data were smaller than that of PT. But after the training, PT students eye scan data in y-axis got larger. It means that PT students can train their visual analysis ability by using eye-tracking video and change eye movement wider in y-axis. It suggested that the students will get the wider eye movements and more visual information with the eye-tracking system. Also, the eye-tracking system will be used easily as an educational tool because of its low cost and convenience.
Implications: This low-cost eye-tracking system can encourage the students how to learn the motion analysis of the patients' movement.
Keywords: Visual motion analysis, education, eye-tracking
Funding acknowledgements: This study was unfunded.
Purpose: The aim of this study is to develop the low cost eye-tracking system that can be tracked the eye movement and whether it is possible to use as an educational tool of the physical therapist students.
Methods: We have developed low cost eye tracking system that can be scanned eye movement. Details on the present proposed device including the personal computer(PC), Sentry Gaming Eye Tracker(SteelSeries),Kinovea 0.8.15(video analyze software). The cost of the eye-tracker device was about 300 dollars other than PC. Before the experiment, we had recognized its calibration.
Subjects are the voluntary recruited 8 students in physical therapy department of the university.
Procedure: We prepared the short video of gait.
1) We scanned eye movement's data of PT(the seventh clinical experience years) during visual gait analysis of the video.
2) PT Students' eye movements' data were scanned during visual gait analysis of the video. Next, Students were training with eye-tracking data of PT (the seventh clinical experience years).
They were verbally cued to imitate PT's recorded data in 5 minutes. After that, PT students' eye movements' data during visual gait analysis of the video were scanned again.
Also, after the experiment, the questionnaire was done to the students.
Results: The students´ average of the eye scan data of standard deviation in x-axis were 6.25±2.36, 9.68±4.38(before training, after the training). The average of the eye scan data of standard deviation in y-axis were 24.7±11.7, 34.9±14.1(before training, after the training). We recognized a statistically significant difference in in y-axis(p>.05). The eye scan data of PT (the seventh clinical experience years) were larger than PT students' data in both x-axis and y-axis.
Conclusion(s): The standard deviation of PT students' eye scan data were smaller than that of PT. But after the training, PT students eye scan data in y-axis got larger. It means that PT students can train their visual analysis ability by using eye-tracking video and change eye movement wider in y-axis. It suggested that the students will get the wider eye movements and more visual information with the eye-tracking system. Also, the eye-tracking system will be used easily as an educational tool because of its low cost and convenience.
Implications: This low-cost eye-tracking system can encourage the students how to learn the motion analysis of the patients' movement.
Keywords: Visual motion analysis, education, eye-tracking
Funding acknowledgements: This study was unfunded.
Topic: Education: methods of teaching & learning; Education
Ethics approval required: Yes
Institution: Tokoha University
Ethics committee: Tokoha university ethics committee
Ethics number: 17-24
All authors, affiliations and abstracts have been published as submitted.
