Anti-Social Behaviour Analysis using Random Forest and Word to Vector Approach

2022 ◽  
Vol 14 (1) ◽  
pp. 1
Author(s):  
Subhranil Som ◽  
Sunil Kumar Khatri ◽  
Nidhi Chandra
Proceedings ◽  
2019 ◽  
Vol 32 (1) ◽  
pp. 19
Author(s):  
Skach ◽  
Stewart ◽  
Healey

In this paper, we introduce a new modality for capturing body postures and social behaviour. Vice versa, we propose a new application area for on-body textile sensors. We have developed “smart trousers” with embedded textile pressure sensors that allow for classification of a large variety of postural movements as well as interactional states. Random Forest models are used to investigate those. Here, we give an overview of the research conducted and discuss potential use cases of the presented design.


2020 ◽  
Vol 5 (2) ◽  
pp. 369
Author(s):  
Yayuk Hidayah ◽  
Yusuf Faisal Ali ◽  
Anis Suryaningsih

<p><span>Student organization as a place to develop the talents of the students in the form of aspirations, ideas, and creativity to provide opportunities for students to be able to nurture their sense of organization. In student organizations, students are met with certain conditions that bring on pro-social attitudes. </span><span>The purpose of this study is to analyze, describe, and assess the pro-social behaviour of students through student organizations. This research is descriptive qualitative research. Collecting data through observation, interviews and documentation. Analysis of the data is done by using the model of Miles and Huberman. This study results that students involved in student organizations have social behaviours such as empathy, social responsibility, and low egocentrism. </span><span>The factors that affect student Pro-social attitudes are the environment, knowledge and personality. Mankind as the main source in the organization should be able to develop individuals with certain criteria. Coaching intensively and encouragement over the ownership of Pro-social attitudes for students are solutions to the emergence of the smart and good citizen.</span></p>


Proceedings ◽  
2018 ◽  
Vol 2 (19) ◽  
pp. 1243 ◽  
Author(s):  
Kostas Konsolakis ◽  
Hermie Hermens ◽  
Claudia Villalonga ◽  
Miriam Vollenbroek-Hutten ◽  
Oresti Banos

Human behaviour analysis through smartphone devices has been an active field for more than a decade and there are still a lot of key aspects to be addressed. This paper surveys the state-of-the-art in human behaviour analysis based on smartphones. We categorise prior works into four main sensing modalities related to physical, cognitive, emotional and social behaviour. Finally, we conclude with the outcomes of this survey and we illustrate our ideas for future research in the area of human behaviour understanding.


PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
pp. e74557 ◽  
Author(s):  
Luca Giancardo ◽  
Diego Sona ◽  
Huiping Huang ◽  
Sara Sannino ◽  
Francesca Managò ◽  
...  

2020 ◽  
Vol 43 ◽  
Author(s):  
Julian Kiverstein ◽  
Erik Rietveld

Abstract Veissière and colleagues make a valiant attempt at reconciling an internalist account of implicit cultural learning with an externalist account that understands social behaviour in terms of its environment-involving dynamics. However, unfortunately the author's attempt to forge a middle way between internalism and externalism fails. We argue their failure stems from the overly individualistic understanding of the perception of cultural affordances they propose.


Author(s):  
Simon French ◽  
John Maule ◽  
Nadia Papamichail
Keyword(s):  

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