Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems 2016
DOI: 10.1145/2851581.2892519
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Correcting Exercise Form Using Body Tracking

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Cited by 21 publications
(9 citation statements)
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“…The use of one or more cameras, i.e., webcams or Microsoft Kinect, allows the computer to sense the user and his/her actions, gestures or postures. Works by Egusa et al [55] or Conner et al [63] used RGBD cameras to sense the user’s body posture and the gestures performed, whereas, the work by Marnik et al [23] focuses on computer vision algorithms to recognize gestures. During the assessment, researchers concluded that the use of computer vision techniques in motor training allowed participants to be immersed in the proposed activities and they found them motivating.…”
Section: Resultsmentioning
confidence: 99%
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“…The use of one or more cameras, i.e., webcams or Microsoft Kinect, allows the computer to sense the user and his/her actions, gestures or postures. Works by Egusa et al [55] or Conner et al [63] used RGBD cameras to sense the user’s body posture and the gestures performed, whereas, the work by Marnik et al [23] focuses on computer vision algorithms to recognize gestures. During the assessment, researchers concluded that the use of computer vision techniques in motor training allowed participants to be immersed in the proposed activities and they found them motivating.…”
Section: Resultsmentioning
confidence: 99%
“…The results obtained by [23,55,63] were achieved thanks to the use of technologies and sensors that allowed the tracking of the different movements of the patient’s body, offering an accurate feedback in real time of their movements and informing them of the correctness. Additionally, when presenting these exercises as play activities, participants felt more comfortable and motivated with the activity, because they were immersed in the exercise [64,65].…”
Section: Discussionmentioning
confidence: 99%
“…Exergames might also increase PA while developing motor skills among overweight children and adolescents (do Carmo, Goncalves, Batalau, & Palmeira, 2013). Body tracking technologies have also been used as a live correcting tool for free weight exercises (Conner & Poor, 2016), and improved motor skills (balance) after exergaming was observed with higher scores in female players (Norris et al, 2016).…”
Section: Learning and Skill Acquisitionmentioning
confidence: 99%
“…Elvitigala et al [19] built a posture feedback system for dead-lifts, which visualised the user's centre of gravity. A similar system by Conner and Poor used visual feedback only [16]. They found that feedback helped in maintaining the correct posture, but could not determine whether vibrotactile or visual feedback offered better performance.…”
Section: Feedback In Hci For Sportsmentioning
confidence: 99%