body movement
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2022 ◽  
Vol 28 (1) ◽  
pp. 65-67
Bo Yu

ABSTRACT Introduction: The performance of basketball players is based on physical function and quality. In addition to genetic factors, physical function can also be improved through acquired training. Objective: The article analyzes the concept of body movement through literature data and a questionnaire survey. Methods: This article analyzes the mechanical characteristics of basketball technology from the perspective of physiology and proposes methods to develop the strength of basketball players. Results: Through the activation of different training actions, controlling the muscles that maintain the stability of the limbs to adjust body balance is beneficial to improvement of the coordination and sensitivity of the muscles. Conclusion: Pay attention to the principle of incremental load, the SAID principle, and comprehensiveness in strength training. The training method adopted is helpful to the improvement of the athlete’s aerobic metabolism. Level of evidence II; Therapeutic studies - investigation of treatment results.

2022 ◽  
Vol 28 (1) ◽  
pp. 131-144
Alex Ju Sung Kim ◽  
Sungmoon Ong ◽  
Ji Hyun Kim ◽  
Hong Sub Lee ◽  
Jun Sik Yoon ◽  

Jin Li ◽  
Xinsheng Jiang ◽  
Zituo Wang ◽  
Chunhui Wang ◽  
Yunxiong Cai

Aim: To predict the mechanical product maintenance time is difficult in the situation of lack of physical prototype or similar products’ statistics in stage of design Method: According to the theory of time accumulative estimation method, a product maintenance time prediction method framework based on virtual prototype was constructed, which described the prediction process. The virtual maintenance environment which contains virtual prototype, virtual human and maintenance tools was developed. The virtual human’s position and posture information during the maintenance process was obtained by implementing VBScript language. Result: Basic maintenance motions that constitute the whole maintenance process were classified into 4 categories: body movement, upper limb movement, grasp/replace and operation. Based on MODAPTS (Modular arrangement of predetermined time standard) method and virtual maintenance simulation, corresponding time prediction methods for each categories were proposed. Discussion: Take a maintenance dissassembly and assembly task of engine as an example, through the comparison between the measured actual maintenance time and predicted time of several methods, feasibility and effectiveness of proposed method are verified

M. Arifki Zainaro ◽  
Ridwan Ridwan ◽  
Rias Tusianah ◽  
Sudjarwo Sudjarwo ◽  
Usastiawaty C. A. S. Isnainy ◽  

Diabetes mellitus (DM) is a slowly deadly disease. Indonesia has the 4th highest number of diabetes mellitus after China, India and the United States. People with diabetes have grown from 8.4 million in 2000 and will become 21.3 million in 2030. This study aims to determine the relationship between body movement and blood sugar levels in patients with type 2 diabetes mellitus. This type of research is quantitative, with a design analytical research and cross-sectional approach. The sample of this study was 131 people with the criteria for suffering from type 2 diabetes mellitus. Data collection used the Global Body Movement Questionnaire (GPAQ) questionnaire, and the statistical test used was the Chi-Square statistical test. The results showed that there was a relationship between physical activity and blood sugar levels in patients with type 2 diabetes mellitus, so it is recommended that DM patients should routinely carry out body movements and control blood sugar levels in health care facilities and take advantage of health services such as health workers if they experience problems in performing body movements and follow a diabetic diet according to the advice of a nutritionist. In-depth conclusions and implications are discussed.

Darren R. Hocking ◽  
Adel Ardalan ◽  
Hisham M. Abu-Rayya ◽  
Hassan Farhat ◽  
Anna Andoni ◽  

Abstract Background Motor impairment is widely acknowledged as a core feature in children with autism spectrum disorder (ASD), which can affect adaptive behavior and increase severity of symptoms. Low-cost motion capture and virtual reality (VR) game technologies hold a great deal of promise for providing personalized approaches to motor intervention in ASD. The present study explored the feasibility, acceptability and potential efficacy of a custom-designed VR game-based intervention (GaitWayXR™) for improving gross motor skills in youth with ASD. Methods Ten children and adolescents (10–17 years) completed six, 20-min VR-based motor training sessions over 2 weeks while whole-body movement was tracked with a low-cost motion capture system. We developed a methodology for using motion tracking data to quantify whole-body movement in terms of efficiency, synchrony and symmetry. We then studied the relationships of the above quantities with standardized measures of motor skill and cognitive flexibility. Results Our results supported our presumption that the VR intervention is safe, with no adverse events and very few minor to moderate side-effects, while a large proportion of parents said they would use the VR game at home, the most prohibitive reasons for adopting the system for home therapy were cost and space. Although there was little evidence of any benefits of the GaitWayXR™ intervention in improving gross motor skills, we showed several positive correlations between the standardized measures of gross motor skills in ASD and our measures of efficiency, symmetry and synchrony from low-cost motion capture. Conclusions These findings, though preliminary and limited by small sample size, suggest that low-cost motion capture of children with ASD is feasible with movement exercises in a VR-based game environment. Based on these preliminary findings, we recommend conducting larger-scale studies with methods for improving adherence to VR gaming interventions over longer periods.

Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 352
Takuma Akiduki ◽  
Jun Nagasawa ◽  
Zhong Zhang ◽  
Yuto Omae ◽  
Toshiya Arakawa ◽  

This study aims to build a system for detecting a driver’s internal state using body-worn sensors. Our system is intended to detect inattentive driving that occurs during long-term driving on a monotonous road, such as a high-way road. The inattentive state of a driver in this study is an absent-minded state caused by a decrease in driver vigilance levels due to fatigue or drowsiness. However, it is difficult to clearly define these inattentive states because it is difficult for the driver to recognize when they fall into an absent-minded state. To address this problem and achieve our goal, we have proposed a detection algorithm for inattentive driving that not only uses a heart rate sensor, but also uses body-worn inertial sensors, which have the potential to detect driver behavior more accurately and at a much lower cost. The proposed method combines three detection models: body movement, drowsiness, and inattention detection, based on an anomaly detection algorithm. Furthermore, we have verified the accuracy of the algorithm with the experimental data for five participants that were measured in long-term and monotonous driving scenarios by using a driving simulator. The results indicate that our approach can detect both the inattentive and drowsiness states of drivers using signals from both the heart rate sensor and accelerometers placed on wrists.

2022 ◽  
pp. 620-642
Suchismita Satapathy

Risk factors related to work activity and ergonomics can enhance the probability that some persons may develop a MSD (musculoskeletal disorder). Usually the MSD develops due to high task repetition, forceful exertion, and repetitive/sustained awkward postures. MSD is also found in some cases where workers are engaged with working in awkward postures, cold temperatures, contact stress, heavy load, static postures, and vibration, etc. Many studies explain the problems for MSD, but in this chapter an effort is taken to rank the maximum body movement and body parts as per the different types of work flow system such that ergonomics design can be planned. Physical disorders can be avoided by finding and ranking the difficult task and the affected body part due to that kind of work. The prioritization of task will help the organization to think of sustainable designs of working procedure or instruments or machines to provide maximum comfort to humankind. It may also help to frame policies for occupational safety and hazards in workplace.

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Yan Wang ◽  
Yuchen Zhang ◽  
LinJun Shen ◽  
ShuMing Wang

As a whole-body sport, skipping rope plays an increasingly important role in daily life. In rope-skipping education, due to the lack of professional teachers, the training efficiency of students is low. The rope-skipping monitoring device is heavy and expensive, and the cost of labor statistics and energy consumption are high. In order to quickly analyze the movement process of students and provide correct guidance, this article implements the movement analysis method of the human body movement process. The problem of limb posture analysis in rope skipping is transformed into a multilabel classification problem, a real-time human motion analysis method based on mobile vision is proposed, and the algorithm model is verified in the rope-skipping scene. The experimental results prove that this paper proposes the improved algorithm, which achieved the expected effect. In the analysis of rope-skipping action, the choice of hyperparameters during the experiment is introduced, and it is verified that the proposed ALSTM-LSTM can solve the problem of multilabel classification in the rope-skipping process. The accuracy rate reaches 95.1%, and it can provide the best in all indicators and good performance. It is of great significance for movement analysis and movement quality evaluation during exercise.

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