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 Combining Image Processing and Tactile Sensation Actuator for Improving Athletic Training in Squat Work Out
Tác giả hoặc Nhóm tác giả: Võ Như Thành, Lê Hoài Nam
Nơi đăng: NCMME2019 Kỷ yếu Hội nghị toàn quốc về Kỹ thuật Cơ khí và Chế tạo năm 2019; Số: ISBN: 978-604-73-7275-1;Từ->đến trang: 275-279. ISBN: 978-604-73-7275-1;Năm: 2019
Lĩnh vực: Kỹ thuật; Loại: Báo cáo; Thể loại: Trong nước
TÓM TẮT
This study presents a research on combining image processing and tactile sensation for improving Squat motion training. Squat is a very fundamental exercises which is critical for a lower-body regimen training, and people think it is easy to do this exercise themselves. However, there are many accidents happened because people doing it the wrong way. Therefore, developing a training system combining image processing and tactile sensation would help athletics and people correctly work out with Squat motion and could prevent injuries is put into consideration. This system would consist of PC, Kinect, A/D converter, amplifier, and tactile pads. Image processing using OpenNI software together with depth sensor camera from Kinect to detect the motion of trainer, and shape memory alloy (SMA) wire tactile sensation will indicate for the trainer if the work out is done properly. The test result indicated that this system could help trainer improve their Squat motion workout.
ABSTRACT
This study presents a research on combining image processing and tactile sensation for improving Squat motion training. Squat is a very fundamental exercises which is critical for a lower-body regimen training, and people think it is easy to do this exercise themselves. However, there are many accidents happened because people doing it the wrong way. Therefore, developing a training system combining image processing and tactile sensation would help athletics and people correctly work out with Squat motion and could prevent injuries is put into consideration. This system would consist of PC, Kinect, A/D converter, amplifier, and tactile pads. Image processing using OpenNI software together with depth sensor camera from Kinect to detect the motion of trainer, and shape memory alloy (SMA) wire tactile sensation will indicate for the trainer if the work out is done properly. The test result indicated that this system could help trainer improve their Squat motion workout.
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