• 한국인터넷방송통신학회논문지
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• 제16권5호
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• pp.99-104
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• 2016

최근 ICT를 접목한 건강 상태 및 운동량 측정 연구가 많이 진행되고 있다. 그러나 대부분의 현재 운동량이나 건강 정보를 수집하여 사용자에게 제공하고 있다. 이에 본 논문에서는 칼만 필터를 이용한 걷기 운동량 예측 서비스를 설계하고 구현한다. 이 서비스는 사용자에게 과거 운동 이력과 실시간 운동 데이터를 측정하여 제공하고, 더불어 운동동기를 부여하고 촉진하기 위해 미래의 걷기 운동 활동량을 예측한 데이터를 제공한다. 이 서비스를 통해 많은 사람들에게 자신의 걷기 운동 상황과 미래 운동량을 사전에 파악하여 걷기 운동 동기를 유발할 수 있어 걷기 운동 증강에 도움을 줄 수 있다.

• 대한임베디드공학회논문지
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• 제13권4호
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• pp.215-223
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• 2018

Recently, as interest of wearable devices has increased, commercially available smart wristbands and applications have been used as a tool for personal healthy management. However most previous studies have focused on evaluating the accuracy and reliability of the technical problems of wearable devices, especially step counts, walking distance, and energy consumption measured from the smart wristbands. In this study, we propose a physical activity evaluation model using classification rules, induced from the associative classification mining approach. These rules associated with five physical activities were generated by considering activities and walking times in target heart rate zones such as 'Out-of Zone', 'Fat Burn Zone', 'Cardio Zone', and 'Peak Zone'. In the experiment, we evaluated the prediction power of classification rules and verified its effectiveness by comparing classification accuracies between the proposed model and support vector machine.

• 한국환경보건학회지
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• 제48권3호
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• pp.151-158
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• 2022

Background: Chemical emissions in the environment have rapidly increased with the accelerated industrialization taking place in recent decades. Residents of industrial complexes are concerned about the health risks posed by chemical exposure. Objectives: This study was performed to suggest modeling methods that take into account multimedia and multi-pathways in human exposure and risk assessment. Methods: The concentration of benzene emitted at industrial complexes in Daesan, South Korea and the exposure of local residents was estimated using the Caltox model. The amount of human exposure based on inhalation rate was stochastically predicted for various activity stages such as resting, normal walking, and fast walking. Results: The coefficient of determination (R²) for the CalTOX model efficiency was 0.9676 and the root-mean-square error (RMSE) was 0.0035, indicating good agreement between predictions and measurements. However, the efficiency index (EI) appeared to be a negative value at -1094.4997. This can be explained as the atmospheric concentration being calculated only from the emissions from industrial facilities in the study area. In the human exposure assessment, the higher the inhalation rate percentile value, the higher the inhalation rate and lifetime average daily dose (LADD) at each activity step. Conclusions: Prediction using the Caltox model might be appropriate for comparing with actual measurements. The LADD of females was higher ratio with an increase in inhalation rate than those of males. This finding would imply that females may be more susceptible to benzene as their inhalation rate increases.

• Steel and Composite Structures
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• 제13권2호
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• pp.139-155
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• 2012

Serviceability rather than strength is the most critical design requirement for vibration-vulnerable floor constructions. Annoying vibrations due to normal walking activity have been observed more frequently on long-span lightweight floor systems in office and commercial retail buildings, raising the need for the development of floor vibration design procedures. This paper highlights some limitations of one of the most commonly used guidelines AISC/CISC DG11, and proposes improvements to this method. Design charts and approximate closed form formulas to estimate the walking response are developed in which various factors relating to the dynamic characteristics of both the floor and the excitation are considered. The accuracy of the proposed formulas and other proposals found in the literature is examined. The proposed modifications would be significant, especially with long-span floors where vibration levels may be underestimated by the current design procedure. The application of the proposed prediction method is illustrated by worked examples that reveal a good agreement with results obtained from finite element analyses and experiments. The presented work would enhance the accuracy and maintain the simplicity and convenience of the design guideline.

• 운동영양학회지
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• 제25권1호
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• pp.23-29
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• 2021

[Purpose] This preliminary study aimed to develop a regression model to estimate the non-exercise activity thermogenesis (NEAT) of Korean adults using various easy-to-measure dependent variables. [Methods] NEAT was measured in 71 healthy adults (male n = 29; female n = 42). Statistical analysis was performed to develop a NEAT estimation regression model using the stepwise regression method. [Results] We confirmed that age^A, weight^B, heart rate (HR)_average^C, weight × HR_average^D, weight × HR_sum^E, systolic blood pressure (SBP) × HR_rest^F, fat mass ÷ height^2G, gender × HR_average^H, and gender × weight × HR_sum^I were important variables in various NEAT activity regression models. There was no significant difference between the measured NEAT values obtained using a metabolic gas analyzer and the predicted NEAT. [Conclusion] This preliminary study developed a regression model to estimate the NEAT in healthy Korean adults. The regression model was as follows: sitting = 1.431 - 0.013 × (A) + 0.00014 × (D) - 0.00005 × (F) + 0.006 × (H); leg jiggling = 1.102 - 0.011 × (A) + 0.013 × (B) + 0.005 × (H); standing = 1.713 - 0.013 × (A) + 0.0000017 × (I); 4.5 km/h walking = 0.864 + 0.035 × (B) + 0.0000041 × (E); 6.0 km/h walking = 4.029 - 0.024 × (C) + 0.00071 × (D); climbing up 1 stair = 1.308 - 0.016 × (A) + 0.00035 × (D) - 0.000085 × (F) - 0.098 × (G); and climbing up 2 stairs = 1.442 - 0.023 × (A) - 0.000093 × (F) - 0.121 × (G) + 0.0000624 × (E).

• 대한지역사회영양학회지
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• 제22권5호
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• pp.413-425
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• 2017

Objectives: Accurate assessment of energy expenditure is important for estimation of energy requirements in athletic children. The objective of this study was to evaluate the accuracy of accelerometer for prediction of selected activities' energy expenditure and intensity in athletic elementary school children. Methods: The present study involved 31 soccer players (16 males and 15 females) from an elementary school (9-12 years). During the measurements, children performed eight selected activities while simultaneously wearing the accelerometer and carrying the portable indirect calorimeter. Five equations (Freedson/Trost, Treuth, Pate, Puyau, Mattocks) were assessed for the prediction of energy expenditure from accelerometer counts, while Evenson equation was added for prediction of activity intensity, making six equations in total. The accuracy of accelerometer for energy prediction was assessed by comparing measured and predicted values, using the paired t-test. The intensity classification accuracy was evaluated with kappa statistics and ROC-Curve. Results: For activities of lying down, television viewing and reading, Freedson/Trost, Treuth were accurate in predicting energy expenditure. Regarding Pate, it was accurate for vacuuming and slow treadmill walking energy prediction. Mattocks was accurate in treadmill running activities. Concerning activity intensity classification accuracy, Pate (kappa=0.72) had the best performance across the four intensities (sedentary, light, moderate, vigorous). In case of the sedentary activities, all equations had a good prediction accuracy, while with light activities and Vigorous activities, Pate had an excellent accuracy (ROC-AUC=0.91, 0.94). For Moderate activities, all equations showed a poor performance. Conclusions: In conclusion, none of the assessed equations was accurate in predicting energy expenditure across all assessed activities in athletic children. For activity intensity classification, Pate had the best prediction accuracy.

• 재활복지공학회논문지
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• 제6권1호
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• pp.1-8
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• 2012

본 논문에서는 3축 가속도 동작 감지기를 이용하여 신체활동 에너지 소비량 예측 알고리즘을 구현 하였다. 피험자 33명(남성: 15, 여성: 18명)을 대상으로 트레드밀에서 호흡가스분석기, 3축 가속도 동작 감지기(피트미터)를 허리와 손목에 착용 후 2 km/h ~ 11 km/h 까지 각 단계별 2분 수행 후, 1 km/h 씩 증가 시키면 실험을 진행하였다. 3축 가속도 동작 감지기의 x, y, z축 출력 값을 하나의 대표 값으로 처리하는 신호벡터크기(Signal Vector Magnitude: SVM)와 산소소비량과의 회귀분석을 통하여 신체활동 에너지 소비량 예측 알고리즘을 구현 하였다. 허리, 손목, 허리와 손목의 3축 가속도 동작 감지기 착용 위치에 따라 알고리즘을 구현하고 각각의 알고리즘 별로 비교하여 신체활동의 특성에 따라 선택적으로 이용할 수 있도록 구현 하였다.

• 한국컴퓨터정보학회논문지
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• 제24권10호
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• pp.33-39
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• 2019

본 논문에서는 인체의 활동량을 측정하기 위해 가속도 센서로 부터 얻은 운동신호를 파라미터로 모델링 하는 방법을 제안한다. 상체와 하체의 움직임이 동시에 일어나지 않는 경우, 현재의 단체널 방식의 운동량 분석방법은 많은 오차를 수반하게 된다. 본 연구에서는 3축 가속도 센서를 팔과 다리에 부착하고 인체의 활동을 측정한 후, 각 채널 별로 팔과 다리의 운동량을 계산하고, 채널별로 선형예측계수를 얻는다. 또한, 상체와 하체운동간의 교차상관도를 측정함으로써 상체와 하체의 주기성을 판단하게 된다. 선형예측계수와 주기 값은 운동의 종류와 이에 따른 운동량을 측정하는 자료로 이용하게 된다. 결과에서 제안한 방법의 유효성을 확인하기 위해 계단내려가기, 계단오르기, 언덕오르기, 언덕내려가기 등의 4가지 운동을 측정하여, 제시한 파라미터 모델의 유용성을 확인한다.