A survey of group activity recognition in smart building

Fauzi, Chairani; Sulistyo, Selo; Widyawan,

doi:10.1109/icsigsys.2018.8372651

Cited by 6 publications

(1 citation statement)

References 42 publications

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“…The third is the analysis of the performance characteristics and benefits of smart building, including smart building capability and performance indicators [16,17], economic and energy consumption analysis [18], economic feasibility analysis of smart building technology [19], and system [20], data and monitoring analysis [21,22]. In addition, there are a few papers dealing with other areas of research in smart building, including smart building construction, acceptance and maintenance [23,24], application of emerging technologies in industrial construction [25][26][27][28][29][30], identification of group activity characteristics in smart buildings [31,32], as well as problems and challenges faced by integrating smart buildings into smart cities [33][34][35][36].…”

Section: Literature Reviewmentioning

confidence: 99%

A Study on Evaluation of Influencing Factors for Sustainable Development of Smart Construction Enterprises: Case Study from China

Zhao

Zhang

2021

Buildings

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Smart construction enterprises are the key subjects in the development and practical transformation of smart building technology, and their sustainable development has been a hot research topic in the new era. In the context of the new round of technology and industrial revolution, the rapid accumulation of development uncertainties and their possible transformation into risks at any time, as well as the ambiguity of growth mechanisms and the loss of strategies, have become major challenges that may constrain the development and strategic management of enterprises. Based on SWOT, BCG, GE, QSPM and principal component analysis methods, this paper constructs a new framework combining theory and practice organically for quantitative identification and evaluation of influencing factors, and analysis of strategy selection and the decision-making process. It will provide a scientific basis for sustainable development and strategic management of smart construction enterprises. DK Company is a typical smart building enterprise in China, and the results of its empirical study show that: Firstly, the 28 variable elements influencing the sustainable development of smart construction enterprises can be summarized into six key factors, with significant differences in their influence, and the external influence far greater than the internal driving force. Secondly, a priority set of six alternatives for strategic decision-making and implementation is proposed, based on the quantitative strategy selection and matching analysis, which improves the accuracy and practicality of the study findings.

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Section: Literature Reviewmentioning

confidence: 99%

A Study on Evaluation of Influencing Factors for Sustainable Development of Smart Construction Enterprises: Case Study from China

Zhao

Zhang

2021

Buildings

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A Comprehensive Review of Group Activity Recognition in Videos

Wang

Jian

et al. 2021

Int. J. Autom. Comput.

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Human group activity recognition (GAR) has attracted significant attention from computer vision researchers due to its wide practical applications in security surveillance, social role understanding and sports video analysis. In this paper, we give a comprehensive overview of the advances in group activity recognition in videos during the past 20 years. First, we provide a summary and comparison of 11 GAR video datasets in this field. Second, we survey the group activity recognition methods, including those based on handcrafted features and those based on deep learning networks. For better understanding of the pros and cons of these methods, we compare various models from the past to the present. Finally, we outline several challenging issues and possible directions for future research. From this comprehensive literature review, readers can obtain an overview of progress in group activity recognition for future studies.

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A Correlation-based Real-time Segmentation Scheme for Multi-user Collaborative Activities

Kim

Lee

2022

2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)

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A survey of group activity recognition in smart building

Cited by 6 publications

References 42 publications

A Study on Evaluation of Influencing Factors for Sustainable Development of Smart Construction Enterprises: Case Study from China

A Study on Evaluation of Influencing Factors for Sustainable Development of Smart Construction Enterprises: Case Study from China

A Comprehensive Review of Group Activity Recognition in Videos

A Correlation-based Real-time Segmentation Scheme for Multi-user Collaborative Activities

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