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  • Gao, Binghong  (2)
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  • 1
    Online Resource
    Online Resource
    Posture Recognition and Behavior Tracking in Swimming Motion Images under Computer Machine Vision
    Hindawi Limited ; 2021
    In:  Complexity Vol. 2021 ( 2021-5-20), p. 1-9
    Details
    In: Complexity, Hindawi Limited, Vol. 2021 ( 2021-5-20), p. 1-9
    Abstract: This study is to explore the gesture recognition and behavior tracking in swimming motion images under computer machine vision and to expand the application of moving target detection and tracking algorithms based on computer machine vision in this field. The objectives are realized by moving target detection and tracking, Gaussian mixture model, optimized correlation filtering algorithm, and Camshift tracking algorithm. Firstly, the Gaussian algorithm is introduced into target tracking and detection to reduce the filtering loss and make the acquired motion posture more accurate. Secondly, an improved kernel-related filter tracking algorithm is proposed by training multiple filters, which can clearly and accurately obtain the motion trajectory of the monitored target object. Finally, it is proposed to combine the Kalman algorithm with the Camshift algorithm for optimization, which can complete the tracking and recognition of moving targets. The experimental results show that the target tracking and detection method can obtain the movement form of the template object relatively completely, and the kernel-related filter tracking algorithm can also obtain the movement speed of the target object finely. In addition, the accuracy of Camshift tracking algorithm can reach 86.02%. Results of this study can provide reliable data support and reference for expanding the application of moving target detection and tracking methods.
    Type of Medium: Online Resource
    ISSN: 1099-0526 , 1076-2787
    URL: Article
    DOI: 10.1155/2021/5526831
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2004607-8
    SSG: 11
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    Online Resource
  • 2
    Online Resource
    Online Resource
    The Effect of Hyperbaric Oxygen Combined with Virtual Reality Training on Oxidative Stress Indicators and Inflammatory Factors of Swimming Athletes Suffering from Depression
    Hindawi Limited ; 2021
    In:  Journal of Healthcare Engineering Vol. 2021 ( 2021-3-11), p. 1-8
    Details
    In: Journal of Healthcare Engineering, Hindawi Limited, Vol. 2021 ( 2021-3-11), p. 1-8
    Abstract: This study was conducted to explore the effect of hyperbaric oxygen (HBO) therapy combined with virtual reality (VR) training on oxidative stress indicators (OSIs) and inflammatory factors (IFs) in swimming athletes with depression. 88 swimming athletes suffering from depression were grouped into a control group (group C) and a research group (group R). The patients in group C were given HBO therapy, and the group R was given HBO therapy combined with VR training. The Physical Health Questionnaire (PHQ-9) and the Symptom Checklist (SCL-90) were adopted to assess the depression status of patients. The differences between the two groups of serum OSIs and IFs before and after the intervention were compared and analyzed. The results disclosed that the PHQ-9 score and SCL-90 score in group R were not different from those in group C before the intervention, but those in group R were greatly decreased in contrast to group C after the intervention ( P 〈 0.05 ). Before the intervention, there was no obvious difference in the OSIs and the IFs between the two groups. The levels of interleukin-1β (IL-1β), interleukin-6 (IL-6), interleukin-8 (IL-8), and tumor necrosis factor-α (TNF-α) in the two groups were decreased greatly after intervention, and those in the group R were much lower than those in group C ( P 〈 0.05 ). Compared with the preintervention, the levels of malondialdehyde (MDA) in both groups were reduced observably, and the levels of superoxide dismutase (SOD), nitric oxide (NO), and glutathione peroxidase (GSH-Px) were dramatically increased. The MDA in group R was much lower, while the SOD, NO, and GSH-Px were much higher in contrast to group C ( P 〈 0.05 ). It indicated that HBO combined with VR training had a good clinical effect for swimming athletes suffering from depression, and it could reduce the oxidative stress and inflammation, thereby helping patients recover quickly.
    Type of Medium: Online Resource
    ISSN: 2040-2309 , 2040-2295
    URL: Article
    DOI: 10.1155/2021/6645515
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2545054-2
    Location Call Number Limitation Availability
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