• Title/Summary/Keyword: Exercise Machine

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Performance Evaluation of Automatic Exercise Weight and Repetition Measuring Device Add-on for Existing Fitness Machines (기존 운동기기 부착용 운동중량/횟수 자동측정기기의 성능평가)

  • Kim, Jung Gi;Lee, Yongkoo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.4
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    • pp.329-332
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    • 2017
  • In this study, a performance evaluation was carried out to develop a new add-on device with an algorithm for automatically measuring the exercise weight and repetitions when using an existing fitness machine. The developed device was designed to be simply attached to an exercise machine to measure the exercise weight and repetitions. The measured data are transferred to a smartphone using Bluetooth. As result, it is possible to detect the weights and repetitions from three users with different exercise habits with little error. The system can measure the user's motion and transfer the data to various devices capable of utilizing the workout data, giving it the advantage of being applicable to personalized health care and rehabilitation therapy.

Extraction of Motor Modules by Autoencoder to Identify Trained Motor Control Ability

  • LEE, Jae-Hyuk
    • Journal of Wellbeing Management and Applied Psychology
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    • v.5 no.2
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    • pp.15-19
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    • 2022
  • Purpose: This pilot study aimed to clarify features of motor module during walking in exercise experts who experienced lately repeated training for sports skill. To identify motor modules, autoencoder machine learning algorithm was used, and modules were extracted from muscle activities of lower extremities. Research design, data and methodology: A total of 10 university students were participated. 5 students did not experience any sports training before, and 5 students did experience sports training more than 5 years. Eight muscle activities of dominant lower extremity were measured. After modules were extracted by autoencoder, the numbers of modules and spatial muscle weight values were compared between two groups. Results: There was no significant difference in the minimal number of motor modules that explain more than 90% of original data between groups. However, in similarity analysis, three motor modules were shown high similarity (r>0.8) while one module was shown low similarity (r<0.5). Conclusions: This study found not only common motor modules between exercise novice and expert during walking, but also found that a specific motor module, which would be associated with high motor control ability to distinguish the level of motor performance in the field of sports.

The Remedial Effect Measurement of an Obesity Remedy Machine for Home Use (새로운 가정용 비만치료기의 비만치료효과 측정)

  • Lee Jae-Hoon;Lee Dong-Hyung
    • Science of Emotion and Sensibility
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    • v.8 no.1
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    • pp.37-45
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    • 2005
  • This paper reports the remedial effect measurement of an obesity remedy machine for home use which has been developed by H Co. and the authors. It is expected that the machine enhances it's remedial effect and usability by utilizing medium frequency and thermotherapy belt etc. In order to measure it's remedial effect, a clinical experiment, which participates eight young female subjects, has been conducted for one month. The experiment includes the measurements on the changes of Gas-Exchange Responses of subjects through Cardio-Pulmonary Exercise Testing. The experimental results show that the obesity remedy machine helps the subjects to reduce their weights, fat rates, and $VCO_2s$. Thus, it turns out that the machine can be a good candidate for medical treatment on the obesity.

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Machine Learning Algorithms for Predicting Anxiety and Depression (불안과 우울 예측을 위한 기계학습 알고리즘)

  • Kang, Yun-Jeong;Lee, Min-Hye;Park, Hyuk-Gyu
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.207-209
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    • 2022
  • In the IoT environment, it is possible to collect life pattern data by recognizing human physical activity from smart devices. In this paper, the proposed model consists of a prediction stage and a recommendation stage. The prediction stage predicts the scale of anxiety and depression by using logistic regression and k-nearest neighbor algorithm through machine learning on the dataset collected from life pattern data. In the recommendation step, if the symptoms of anxiety and depression are classified, the principal component analysis algorithm is applied to recommend food and light exercise that can improve them. It is expected that the proposed anxiety/depression prediction and food/exercise recommendations will have a ripple effect on improving the quality of life of individuals.

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Effect of Exercises on the Cerebral Blood Flow (운동이 뇌 혈류 변화에 미치는 영향)

  • Song, Myung-Soo;Choi, Su-Hee
    • Journal of the Korean Academy of Clinical Electrophysiology
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    • v.1 no.2
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    • pp.1-9
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    • 2003
  • The purpose of this study was to analyze the effect given to the variable details which disturb the flow of blood in brain artery disease through Aerobic exercises. It chose the subjects of study : 5 persons in an exercise group and 5 persons in a non-exercise group. Peak brain blood velocity, mean velocity, and resistance & artery stricture ratio were measured with TCD, measure machine for brain artery blood flow. The conclusion of the study was as follows: 1. At pre-test of an exercises group and a non-exercise group, PBV, MBV, BRI, ASI of a non-exercise group were showed much lower in the variation of left common carotid artery(LCCA). 2. At post-test of an aerobic exercises group and a non-exercise group, PBV, MBV, BRI, ASI of a non-exercise group were showed just a little decrease ratio but were not significant different in the variation of left common carotid artery(LCCA). Viewing on the base of these result, continuing exercises promote the functional improvement of the heart blood system and were showed the positive variation of artery stricture ratio according to brain blood flow velocity, the pulse and resistance or blood velocity. Therefore programs for prescriptions through aerobic exercises must be developed in many ways.

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Effects of Sit Up Exercise using Gym Ball Unit on Lower Extremity Muscle Strength (짐볼 크기에 따른 윗몸 일으키기 운동이 하지 근력에 미치는 영향)

  • An, Jung-Ae;Lee, Jin;Bang, Hyun-Soo
    • Journal of Korean Physical Therapy Science
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    • v.25 no.2
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    • pp.35-46
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    • 2018
  • Purpose: The purpose of this study is to examine the effects of sit-up exercise using gym ball unit on lower extremity strength. Method: Subjects consisted of 12 G University student (Male:6/Female:6) aged 23~26 years. The experiment progressed with 2 groups according to different size gym balls. and diameter of each gym ball is 45cm / 65cm. The measurement of strength of lower extremity was taken by isokinetic exercise machine(Biodex Medical, Inc, USA) Result: The results of this study were as follow. There were not different of Peak torque and Average Power between 65cm gymball and 45cm gymball. in other words using the 45cm gym ball and 65cm gym ball sit-up exercise were both effective for strengthening of lower extremity. Conclusion: Sit-up exercise on all of less than 65cm gym ball was effective for strengthening of lower extremity, furthermore it was helpful for keeping uprighting posture also it is affect on abdominal strengthening. As a result sit-Up Exercise Using Gym Ball is effective for a person with weak lower extremity and a person need uprighting posture.

Effect of Exercise Programs for Chronic Low Back Pain Patients : A Systematic Review (만성 허리통증환자의 운동프로그램에 대한 효과)

  • Kang, Kwon-Young;Kim, Eun-Kyung;Hong, Gi-Hoon
    • Journal of Korean Physical Therapy Science
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    • v.18 no.2
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    • pp.1-8
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    • 2011
  • Background: The purpose of this study was to systematic review the effect of exercise programs for chronic low back pain patients. We needs systematic development of low back pain exercise program to reduce economic cost further doing great service to public health promotion. Methods: We searched to the effects of exercise programs for chronic low back pain patients by Dankook University electronic library databases of DBPIA, KSI KISS, CINAHL, MEDLINE and PEDro combined with a hand search of papers published in relevant journals. Any type of study relevant to the topic published during time period from 1970 to 2007 was included. Results: The literature search identified 30 studies. 1.Performing the flexion exercise increased abdominal muscle activity but acute herniated intervertebral disc should be avoided. 2.The general lumbar extension exercise used lumbar extension machine and the muscle power increases, significant probability the change. 3.The spinal segments exercise for the patients offered significant efficacy and appeared to be a reasonable therapeutic option. 4.Spinal stabilization exercises appear to improve trunk endurance and balance to patients with chronic low back pain. This exercise programs had effective decrease pain and disability. Conclusion: The review suggests that although the exercise programs for chronic low back pain patients, and we expected the efficacy of the exercise programs for chronic low back pain patients used in this study should be further investigated in a long period study and objective outcomes.

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Isokinetic Effect of the Extensors and Flexors in Total Knee Replacement Patients (슬관절전치환술 환자의 슬관절 신전근 및 굴곡근에 대한 등속성운동 효과)

  • Bae, Sung-Soo;Nam, Kun-Woo;Lee, Keun-Heui
    • The Journal of Korean Physical Therapy
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    • v.13 no.1
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    • pp.19-31
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    • 2001
  • The twenty one individuals with total knee replacement who were admitted to Kang-Dong Hospital for comprehensive physical therapy were studied in order to demonstrate the effectiveness of an isokinetic test program using the Cybex 6000 machine. The subjects were divided into three groups with the isometric exercise group receiving isometric exercise. the isokinetic eccentric exercise group, and isokinetic eccentric exorcise group receiving isokinetic exercise(eccentric. concentric) to knee flexors and extensors muscles for a six weeks period using the Cybex 6000. The results were follow :1 . The peak torque was increased significantly in the flexors and extensors of the isokinetic conccentric exorcise among three groups(p<.05). 2. The progress of peak torque was increased significantly in the flexors and extensors of the isokinetic conccentric exercise among three groups(p<.05). 3. The total work was more increased significantly in the flexors and extensors of the isokinetic conccentric exercise among three groups(p<.05). 4. The progress of total work was more increased significantly in the flexors and extensors of the isokinetic conccentric exercise among three groups(p<;.05). 5. The ratio of endurance was not increased significantly in all three groups. 6. The extensors in the peak torque was likely to recover rapidly than the flexors. 7.The average R.O.M in the pre-exercise and post-exercise was not different significantly in all three groups. According to the above results, In the muscle strength recovery for total knee replacement patients, isokinetic concentric exercise group was significantly greater than the isokinetic eccentric and isometric exercise groups after a six weeks training.

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A Study on the Timing of Convertible Bonds Using the Machine Learning Model (기계학습 모형을 이용한 전환사채 행사 시점에 관한 연구)

  • Ryu, Jae Pil
    • Journal of the Korea Convergence Society
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    • v.12 no.10
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    • pp.81-88
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    • 2021
  • Convertible bonds are financial products that contain the nature of both bonds and shares, which are generally issued by companies with lower credit ratings to increase liquidity. Conversion bonds rely on qualitative judgment in the past, although decision-making on whether and when to exercise the right to convert is the most important issue. Therefore, this paper proposes to apply artificial neural network techniques to scientifically determine the exercise of conversion rights. We distinguish between a total of 1,800 learning data published in the past and 200 predictive experimental data and build an artificial neural network learning model. As a result, the parity performance in most groups was excellent, achieving an average excess of about 10% or more. In particular, groups 3-6 recorded an average excess of about 20% and group 6 recorded an average excess of about 37%. This paper is meaningful in that it focused on solving decision problems by converging and applying machine learning techniques, a representative technology of the fourth industry, to the financial sector.