• Title/Summary/Keyword: Occupant activity

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Using multiple sequence alignment to extract daily activity routines of the elderly living alone

  • Lee, Bogyeong;Lee, Hyun-Soo;Park, Moonseo;Ahn, Changbum Ryan;Choi, Nakjung;Kim, Toseung
    • Advances in Computational Design
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    • v.4 no.2
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    • pp.73-90
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    • 2019
  • The growth in the number of single-member households is a critical issue worldwide, especially among the elderly. For those living alone, who may be unaware of their health status or routines that could improve their health, a continuous healthcare monitoring system could provide valuable feedback. Assessing the performance adequacy of activities of daily living (ADL) can serve as a measure of an individual's health status; previous research has focused on determining a person's daily activities and extracting the most frequently performed behavioral patterns using camera recordings or wearable sensing techniques. However, existing methods used to extract common patterns of an occupant's activities in the home fail to address the spatio-temporal dimensions of human activities simultaneously. Though multiple sequence alignment (MSA) offers some advantages - such as inherent containment of the spatio-temporal data in sequence format, and rapid identification of hidden patterns - MSA has rarely been used to extract in-home ADL routines. This research proposes a method to extract a household occupant's ADL routines from a cumulative spatio-temporal data log of occupancy collected using a non-intrusive method (i.e., a tomographic motion detection system). The findings from an occupant's 28-day spatio-temporal activity log demonstrate the capacity of the proposed approach to identify routine patterns of an occupant's daily activities and to reveal the order, duration, and frequency of routine activities. Routine ADL patterns identified from the proposed approach are expected to provide a basis for detecting/evaluating abrupt or gradual changes of an occupant's ADL patterns that result from a physical or mental disorder, and can offer valuable information for home automation applications by enabling the prediction of ADL patterns.

The Effect of Outdoor Air and Indoor Human Activity on Mass Concentrations of Size-Selective Particulate in Classrooms (대기오염과 실내 거주자의 활동도가 교실 내부의 입자 크기별 먼지 농도에 미치는 영향)

  • Choi, Sang-Jun
    • Journal of Environmental Health Sciences
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    • v.34 no.2
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    • pp.137-147
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    • 2008
  • This study evaluated the effects of the human activity and outdoor air on concentrations of size-selective particulate matters (PM) by conducting a realtime measurement in classrooms and on roofs at 4 elementary schools, 3 middle schools and 3 high schools in Incheon City. PM concentrations featured repetitive pattern of increasing during break time (including lunch hours) and cleaning time while decreasing during class hours. This trend was more prominent with inhalable PM and PM10 than fine PMs (PM2.5, PM1.0). The indoor/outdoor (I/O) ratio of inhalable PM and PM10 exceeded 1 while that of fine PMs was close to or below 1. The PM2.5 (out)/PM10 (out) ratio stood at 0.59 (${\pm}0.16$) and the PM2.5 (in)/PM10 (in) ratio was 0.29 (${\pm}0.09$), suggesting that occupant activity had a greater effect upon coarse particles (PM10-PM2.5) than upon fine particles (PM2.5, PM1.0). The correlations between the indoor and the outdoor PM concentrations showed a stronger positive correlation for fine particles than that of coarse particles. The linear regression analysis of PM concentrations indoor and outdoor indicated a higher determinant coefficient ($r^2>0.9$), and consistency for fine particles than in case of coarse particles. In conclusion, the results of this study suggest that the indoor coarse particle concentration is more attributed to occupant activity and the indoor fine particle concentration is more influenced by outdoor air pollution.

A Study on the Characteristics of Types of Activity Diagrams for Experimental Residential Design (실험주거 행위 다이어그램의 유형별 특성에 관한 연구)

  • Kim Jong-Jin
    • Korean Institute of Interior Design Journal
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    • v.14 no.3 s.50
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    • pp.28-35
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    • 2005
  • This study is focused on the characteristics of organization types of activity diagrams for experimental residential design. Diagrams became one of the crucial design methods to rationally generate a definite spatial form that contains indefinite human activities In contemporary architecture. Particularly in residential design, activity diagrams based on the occupants' behavioral patterns have been critically important. 'Scientific Management in the Home' by mathematical calculation and the Archigram's 'Living 1990' equipped with innovative technologies are the representative examples in modern architecture. The study is focused on the experimental residential projects since 2000 and three main types of activity organization were discovered: 'Weaving through Circulation';'Flexible Space by Equipment' and 'Activity Selection by Open-Close System'. Two projects from each type are analyzed in detail to further develop the comparison study. The study is concluded that, although the architect's preconceived . philosophical background has an important role, activity organization should smoothly derive from the unique conditions of the project such as the characteristic of the occupant itself.

Using multi-sensor for Development of Multiple Occupants' Activities Classification Model Based on LSTM (다중센서를 활용한 LSTM 기반 재실자 행동 분류 모델 개발)

  • Jin Su Park;Chul Seung Yang;Kyung-Ho Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.1065-1071
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    • 2023
  • In this paper discuss with research developing an LSTM model for classifying the behavior of occupants within a residence. The multi-sensor consists of an IAQ (Indoor Air Quality) sensor that measures indoor air quality, a UWB radar that tracks occupancy detection and location, and a Piezo sensor to measure occupants' biometric information, and collects occupant behavior data such as going out, staying, cooking, cleaning, exercise, and sleep by constructed an experimental environment similar to the actual residential environment. After the data with removed outliers and missing, the LSTM model is used to calculate accuracy, sensitivity, specificity of the occupant behavior classification model, T1 score.

Measurement of PM2.5 Concentrations and Comparison of Affecting Factors in Residential Houses in Summer and Autumn (여름과 가을의 주택실내 초미세먼지(PM2.5) 농도 측정 및 영향요인 비교)

  • Dongjun Kim;Gihong Min;Jihun Shin;Youngtae Choe;Kilyoong Choi;Sang Hyo Sim;Wonho Yang
    • Journal of Environmental Health Sciences
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    • v.50 no.1
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    • pp.16-24
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    • 2024
  • Background: Indoor PM2.5 concentrations in residential houses can be affected by various factors depending on the season. This is because not only do the climate characteristics depend on the season, but the activity patterns of occupants are also different. Objectives: The purpose of this study is to compare factors affecting indoor PM2.5 concentrations in apartments and detached houses in Daegu according to seasonal changes. Methods: This study included 20 households in Daegu, South Korea. The study was conducted during the summer (from July 10 to August 10, 2023) and the autumn (from September 11 to October 9, 2023). A sensor-based instrument for PM2.5 levels was installed in the living room of each residence, and measurements were taken continuously for 24 hours at intervals of one minute during the measurement period. Based on the air quality monitoring system data in Daegu, outdoor PM2.5 concentrations were estimated using ordinary kriging (OK) in Python. In addition, the indoor activities of the occupants were investigated using a time-activity pattern diary. The affecting factors of indoor PM2.5 concentration were analyzed using multiple regression analysis. Results: Indoor and outdoor PM2.5 concentrations of the residences during summer were 15.27±11.09 ㎍/m3 and 11.52±7.56 ㎍/m3, respectively. Indoor and outdoor PM2.5 concentrations during autumn were 13.82±9.61 ㎍/m3 and 9.57±5.50 ㎍/m3, respectively. The PM2.5 concentrations were higher in summer compared to autumn both indoors and outdoors. The primary factor affecting indoor PM2.5 concentration in summer was occupant activity. On the other hand, during the autumn season, the primary affecting factor was outdoor PM2.5 concentration. Conclusions: Indoor PM2.5 concentration in residential houses is affected by occupant activity such as the inflow of outdoor PM2.5 concentration, cooking, and cleaning, as found in previous studies. However, it was revealed that there were differences depending on the season.

Effect of Occupants' Active Behaviour of Environmental Control on Indoor Environment in Summer's High School Classroom (하절기 고등학교 교실에서 재실자의 적극적 환경조절행동이 실내환경에 미치는 영향)

  • Kwak, Ro-Yeul
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.35 no.5
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    • pp.181-190
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    • 2019
  • In high school classrooms, it is reported that ventilation is often insufficient, increasing health risks among students. Therefore, indoor air quality in school classrooms is very important in terms of students' health and learning abilities. In this study, the effect of window opening, which is a control mechanism for air control in summer high school classrooms, on the change in air and indoor environment of the classroom was analyzed and physical conditions of indoor and air environment were observed during the classroom course, and satisfaction of the students and teachers was assessed with questionnaires. It was found that change rate of $CO_2$ concentration in classroom was effectively reduced by carrying out activity of opening the window by active environment control activity of occupants at break time, intermission time and cleaning time. And optimal window opening by students was presented to prevent unpleasantness and degradation of indoor air quality and the effects were analyzed.

Activity Type Detection Of Random Forest Model Using UWB Radar And Indoor Environmental Measurement Sensor (UWB 레이더와 실내 환경 측정 센서를 이용한 랜덤 포레스트 모델의 재실활동 유형 감지)

  • Park, Jin Su;Jeong, Ji Seong;Yang, Chul Seung;Lee, Jeong Gi
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.899-904
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    • 2022
  • As the world becomes an aging society due to a decrease in the birth rate and an increase in life expectancy, a system for health management of the elderly population is needed. Among them, various studies on occupancy and activity types are being conducted for smart home care services for indoor health management. In this paper, we propose a random forest model that classifies activity type as well as occupancy status through indoor temperature and humidity, CO2, fine dust values and UWB radar positioning for smart home care service. The experiment measures indoor environment and occupant positioning data at 2-second intervals using three sensors that measure indoor temperature and humidity, CO2, and fine dust and two UWB radars. The measured data is divided into 80% training set data and 20% test set data after correcting outliers and missing values, and the random forest model is applied to evaluate the list of important variables, accuracy, sensitivity, and specificity.

Effects of Tire Pressure on Biceps Brachii and Triceps Brachii Activity When Operating a Manual Wheelchair

  • Lee, Sang-Yeol;Lee, Su-Kyoung
    • Journal of the Korean Society of Physical Medicine
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    • v.11 no.3
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    • pp.55-58
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    • 2016
  • PURPOSE: This study was measured the differences in the flexor and extensor muscle activities of the elbow joints based on the tire pressure of wheelchairs during propulsion, investigating the optimal tire pressure for improving occupants' propulsion and avoiding related injury. METHODS: Ten healthy volunteers (10 men aged $23.1{\pm}1.9years$, weight: $67.9{\pm}3.4kg$, height: $175.1{\pm}2.7cm$) took part in the study. The mean values used in the statistical process were obtained from values measured while a subject sitting on a wheelchair propelled himself forward for 10 meters on a flat floor at maximum speed. The tire pressure of the wheelchairs was set at 100 psi, 50 psi, and 25 psi. All of the subjects performed wheelchair propulsion for each pressure. This study was measured the activation of the biceps brachii and triceps brachii muscles on the dominant side during wheelchair propulsion. The measured data was analyzed using one-way analysis of variance (ANOVA) via the statistical package for the social sciences (SPSS) version 12.0 for Windows to compare the muscle activity. RESULTS: The muscle activities of the biceps brachii and triceps brachii were significant differences between each pressure group. The post hoc test found statistically significant differences between 100 psi and 50 psi and 100 psi and 25 psi for the biceps brachii and triceps brachii muscles, respectively. CONCLUSION: The maintaining proper tire pressure in a wheelchair may help to prevent overuse syndrome in the occupant's elbow joints.

A comparative study on different walking load models

  • Wang, Jinping;Chen, Jun
    • Structural Engineering and Mechanics
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    • v.63 no.6
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    • pp.847-856
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    • 2017
  • Excessive vibrations can occur in long-span structures such as floors or footbridges due to occupant?s daily activity like walking and cause a so-called vibration serviceability issue. Since 1970s, researchers have proposed many human walking load models, and some of them have even been adopted by major design guidelines. Despite their wide applications in structural vibration serviceability problems, differences between these models in predicting structural responses are not clear. This paper collects 19 popular walking load models and compares their effects on structure?s responses when subjected to the human walking loads. Model parameters are first compared among all these models including orders of components, dynamic load factors, phase angles and function forms. The responses of a single-degree-of-freedom system with various natural frequencies to the 19 load models are then calculated and compared in terms of peak values and root mean square values. Case studies on simulated structures and an existing long-span floor are further presented. Comparisons between predicted responses, guideline requirements and field measurements are conducted. All the results demonstrate that the differences among all the models are significant, indicating that in a practical design, choosing a proper walking load model is crucial for the structure?s vibration serviceability assessment.

A Review of Scientific Evidence on Indoor Air of School Building: Pollutants, Sources, Health Effects and Management

  • Chithra, V.S;Shiva, Nagendra S.M
    • Asian Journal of Atmospheric Environment
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    • v.12 no.2
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    • pp.87-108
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    • 2018
  • Schools are one of the critical social infrastructures in a society, the first place for social activity and the most important indoor environment for children besides the home. Poor IAQ in classrooms can increase the chance of long-term and short-term health problems for students and staffs; affects productivity of teachers; and degrade the student learning environment and comfort levels. The primary objective of this paper is to review and summarize available scientific evidence on indoor air quality of schools and related health effects in children. It was found that the indoor air pollutant levels in school buildings varied over a wide range in different parts of the world depending on site characteristics, climatic conditions, outdoor pollution levels, occupant activities, ventilation type and building practices. Among the indoor air pollutants, particulate matter concentrations were found to be very high in many schools. Outdoor pollutant sources also play a major role in affecting the IAQ of the school building. Hence, scientific knowledge on sources of indoor pollutants, quantification of emissions, temporal and spatial dispersion of pollutants, toxicological properties, chemical and morphological characteristics of the pollutants and associated health risk among children in the school buildings are essential to evaluate the adequacy and cost effectiveness of control strategies for mitigating the IAQ issues.