In view of the aging population in the country,college communities can better meet the needs of the elderly in the community by developing hardware facilities,environmental resources,and management systems.However,in ...In view of the aging population in the country,college communities can better meet the needs of the elderly in the community by developing hardware facilities,environmental resources,and management systems.However,in China,the research on elderly care in colleges is still in its infancy.The paper presents an analysis on the characteristics of the elderly group,outdoor activities,and space characteristics in college communities through the field survey of a university in the north,questionnaire survey and interview with the elderly.Suggestions for optimizing the outdoor activities space of the elderly in college communities are then provided,hoping to provide some reference for relevant research.展开更多
Recognition of human activity is one of the most exciting aspects of time-series classification,with substantial practical and theoretical impli-cations.Recent evidence indicates that activity recognition from wearabl...Recognition of human activity is one of the most exciting aspects of time-series classification,with substantial practical and theoretical impli-cations.Recent evidence indicates that activity recognition from wearable sensors is an effective technique for tracking elderly adults and children in indoor and outdoor environments.Consequently,researchers have demon-strated considerable passion for developing cutting-edge deep learning sys-tems capable of exploiting unprocessed sensor data from wearable devices and generating practical decision assistance in many contexts.This study provides a deep learning-based approach for recognizing indoor and outdoor movement utilizing an enhanced deep pyramidal residual model called Sen-PyramidNet and motion information from wearable sensors(accelerometer and gyroscope).The suggested technique develops a residual unit based on a deep pyramidal residual network and introduces the concept of a pyramidal residual unit to increase detection capability.The proposed deep learning-based model was assessed using the publicly available 19Nonsens dataset,which gathered motion signals from various indoor and outdoor activities,including practicing various body parts.The experimental findings demon-strate that the proposed approach can efficiently reuse characteristics and has achieved an identification accuracy of 96.37%for indoor and 97.25%for outdoor activity.Moreover,comparison experiments demonstrate that the SenPyramidNet surpasses other cutting-edge deep learning models in terms of accuracy and F1-score.Furthermore,this study explores the influence of several wearable sensors on indoor and outdoor action recognition ability.展开更多
One of the factors for the evaluation of the space environment is the comfort of outdoor activities spaces in urban parks. The space composed of different landscape elements has different microclimate environment. In ...One of the factors for the evaluation of the space environment is the comfort of outdoor activities spaces in urban parks. The space composed of different landscape elements has different microclimate environment. In this paper, in order to evaluate the role of thermal comfort in influencing resident’s assessment of the outdoor space and activities of the park, a thermal comfort survey was conducted on the outdoor open space of Mianyang Urban Park in summer. In this article, meteorological surveys, questionnaire surveys and observation of park attendance are selected to collect data. The physiological equivalent temperature (PET) assessment was selected as the index to evaluate resident’s thermal comfort level, and the comprehensive evaluation and analysis of the spatial thermal environment of different outdoor landscape elements in the park. The overall comfort of current visitors is mainly influenced by their subjective heat perception voting (TSV). In this article, we focus on providing microclimate adjustment considerations for urban park landscape design, and may help people understand the outdoor thermal comfort of Mianyang in summer, increase the using time of outdoor activities, and promote the use of outdoor space.展开更多
The purpose of this article is to summarize the methods most commonly used to measure time spent outdoors and provide a comprehensive review of time and activity recording methods with the aim of encouraging the devel...The purpose of this article is to summarize the methods most commonly used to measure time spent outdoors and provide a comprehensive review of time and activity recording methods with the aim of encouraging the development of new methods. PubMed, Embase and the Cochrane Library were searched from Jan. 1st, 1990 to Aug. 31th, 2017. Studies including the following specific terms: “outdoor”, “outside”, “outdoor activity”, “outside activity”, “outdoor time”, “outside time”, and “outdoor AND measurement of time spent outdoors” were considered for this review. In total, three kinds of outdoor time measurements were discussed. Questionnaires have the longest history and are the most thoroughly revised instruments for assessing time spent outdoors, but recall bias is their most substantial drawback. Global positioning system (GPS) tracking can distinguish between indoor and outdoor locations, but its utility is limited due to several factors such as subject compatibility. Light exposure measurement devices are newly emerging, but all of these devices require good subject cooperation. Further efforts and exploration are needed to develop better methods and new tools to record exposure to the outdoors in real time. Moreover, inventing a new device by combining two or more types of devices mentioned above and using the latest technology of en ergy supplementation and autoswitching may make the best use of the advantages and bypass the disadvantages of each tool.展开更多
This paper focuses on climate comfort degree evaluated from relationships between spatial characteristics and behaviors of a winter city.It is demonstrated that the influences of climatic factors on human comfort are ...This paper focuses on climate comfort degree evaluated from relationships between spatial characteristics and behaviors of a winter city.It is demonstrated that the influences of climatic factors on human comfort are remarkably different for different spatial characteristics and functions of the sites.An evaluation method of climatic comfort is propsed,in which attaining comfort is an adaptation process,and the dynamic changes in the process are according to the user’s subjective tendency to the variations of the spatial characteristics and functions of the space.The evaluation criteria are based on both physical and psychological hierarchy needs of a person,which include the spatial form for microclimatic conditions as well as the spatial social-economic characteristics of a site.To improve the local environment of a winter city by planning measurements,the Harbin Central Pedestrian Street is taken as an example in the application of the evaluation method,and different planning optimizing strategies are proposed accordingly.The results show that the pattern of climate comfort is characterized by reflecting the socialeconomic value and individual behavior characteristics.展开更多
文摘In view of the aging population in the country,college communities can better meet the needs of the elderly in the community by developing hardware facilities,environmental resources,and management systems.However,in China,the research on elderly care in colleges is still in its infancy.The paper presents an analysis on the characteristics of the elderly group,outdoor activities,and space characteristics in college communities through the field survey of a university in the north,questionnaire survey and interview with the elderly.Suggestions for optimizing the outdoor activities space of the elderly in college communities are then provided,hoping to provide some reference for relevant research.
基金supported by the Thailand Science Research and Innovation Fundthe University of Phayao(Grant No.FF66-UoE001)King Mongkut’s University of Technology North Bangkok,Contract No.KMUTNB-66-KNOW-05.
文摘Recognition of human activity is one of the most exciting aspects of time-series classification,with substantial practical and theoretical impli-cations.Recent evidence indicates that activity recognition from wearable sensors is an effective technique for tracking elderly adults and children in indoor and outdoor environments.Consequently,researchers have demon-strated considerable passion for developing cutting-edge deep learning sys-tems capable of exploiting unprocessed sensor data from wearable devices and generating practical decision assistance in many contexts.This study provides a deep learning-based approach for recognizing indoor and outdoor movement utilizing an enhanced deep pyramidal residual model called Sen-PyramidNet and motion information from wearable sensors(accelerometer and gyroscope).The suggested technique develops a residual unit based on a deep pyramidal residual network and introduces the concept of a pyramidal residual unit to increase detection capability.The proposed deep learning-based model was assessed using the publicly available 19Nonsens dataset,which gathered motion signals from various indoor and outdoor activities,including practicing various body parts.The experimental findings demon-strate that the proposed approach can efficiently reuse characteristics and has achieved an identification accuracy of 96.37%for indoor and 97.25%for outdoor activity.Moreover,comparison experiments demonstrate that the SenPyramidNet surpasses other cutting-edge deep learning models in terms of accuracy and F1-score.Furthermore,this study explores the influence of several wearable sensors on indoor and outdoor action recognition ability.
文摘One of the factors for the evaluation of the space environment is the comfort of outdoor activities spaces in urban parks. The space composed of different landscape elements has different microclimate environment. In this paper, in order to evaluate the role of thermal comfort in influencing resident’s assessment of the outdoor space and activities of the park, a thermal comfort survey was conducted on the outdoor open space of Mianyang Urban Park in summer. In this article, meteorological surveys, questionnaire surveys and observation of park attendance are selected to collect data. The physiological equivalent temperature (PET) assessment was selected as the index to evaluate resident’s thermal comfort level, and the comprehensive evaluation and analysis of the spatial thermal environment of different outdoor landscape elements in the park. The overall comfort of current visitors is mainly influenced by their subjective heat perception voting (TSV). In this article, we focus on providing microclimate adjustment considerations for urban park landscape design, and may help people understand the outdoor thermal comfort of Mianyang in summer, increase the using time of outdoor activities, and promote the use of outdoor space.
基金Supported by the National Natural Science Foundation of China for Young Staff(No.81402695)the Key Discipline of Public Health-Eye Health in Shanghai(No.15GWZK0601)
文摘The purpose of this article is to summarize the methods most commonly used to measure time spent outdoors and provide a comprehensive review of time and activity recording methods with the aim of encouraging the development of new methods. PubMed, Embase and the Cochrane Library were searched from Jan. 1st, 1990 to Aug. 31th, 2017. Studies including the following specific terms: “outdoor”, “outside”, “outdoor activity”, “outside activity”, “outdoor time”, “outside time”, and “outdoor AND measurement of time spent outdoors” were considered for this review. In total, three kinds of outdoor time measurements were discussed. Questionnaires have the longest history and are the most thoroughly revised instruments for assessing time spent outdoors, but recall bias is their most substantial drawback. Global positioning system (GPS) tracking can distinguish between indoor and outdoor locations, but its utility is limited due to several factors such as subject compatibility. Light exposure measurement devices are newly emerging, but all of these devices require good subject cooperation. Further efforts and exploration are needed to develop better methods and new tools to record exposure to the outdoors in real time. Moreover, inventing a new device by combining two or more types of devices mentioned above and using the latest technology of en ergy supplementation and autoswitching may make the best use of the advantages and bypass the disadvantages of each tool.
基金Funded by the National Natural Science Foundation of China(Grant No.51278140)the New-Century Training Program Foundation for Talents from the Ministry of Education of China(Grant No.NCET-11-0803)
文摘This paper focuses on climate comfort degree evaluated from relationships between spatial characteristics and behaviors of a winter city.It is demonstrated that the influences of climatic factors on human comfort are remarkably different for different spatial characteristics and functions of the sites.An evaluation method of climatic comfort is propsed,in which attaining comfort is an adaptation process,and the dynamic changes in the process are according to the user’s subjective tendency to the variations of the spatial characteristics and functions of the space.The evaluation criteria are based on both physical and psychological hierarchy needs of a person,which include the spatial form for microclimatic conditions as well as the spatial social-economic characteristics of a site.To improve the local environment of a winter city by planning measurements,the Harbin Central Pedestrian Street is taken as an example in the application of the evaluation method,and different planning optimizing strategies are proposed accordingly.The results show that the pattern of climate comfort is characterized by reflecting the socialeconomic value and individual behavior characteristics.