Pub Date : 1900-01-01DOI: 10.4018/978-1-7998-2120-5.ch016
R. Rastogi, D. Chaturvedi, M. Gupta
Psychologists seek to measure personality to analyze the human behavior through a number of methods, which are self-enhancing (humor use to enhance self), affiliative (humor use to enhance the relationship with other), aggressive (humor use to enhance the self at the expense of others), self-defeating (the humor use to enhance relationships at the expense of self). The purpose of this chapter is to enlighten the use of personality detection test in academics, job placement, group-interaction, and self-reflection. This chapter provides the use of multimedia and IoT to detect the personality and to analyze the different human behaviors. It also includes the concept of big data for the storage and processing the data that will be generated while analyzing the personality through IoT. Linear regression and multiple linear regression are proved to be the best, so they can be used to implement the prediction of personality of individuals. Decision tree regression model has achieved minimum accuracy in comparison to others.
{"title":"Computational Approach for Personality Detection on Attributes","authors":"R. Rastogi, D. Chaturvedi, M. Gupta","doi":"10.4018/978-1-7998-2120-5.ch016","DOIUrl":"https://doi.org/10.4018/978-1-7998-2120-5.ch016","url":null,"abstract":"Psychologists seek to measure personality to analyze the human behavior through a number of methods, which are self-enhancing (humor use to enhance self), affiliative (humor use to enhance the relationship with other), aggressive (humor use to enhance the self at the expense of others), self-defeating (the humor use to enhance relationships at the expense of self). The purpose of this chapter is to enlighten the use of personality detection test in academics, job placement, group-interaction, and self-reflection. This chapter provides the use of multimedia and IoT to detect the personality and to analyze the different human behaviors. It also includes the concept of big data for the storage and processing the data that will be generated while analyzing the personality through IoT. Linear regression and multiple linear regression are proved to be the best, so they can be used to implement the prediction of personality of individuals. Decision tree regression model has achieved minimum accuracy in comparison to others.","PeriodicalId":211178,"journal":{"name":"Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126872935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.4018/978-1-7998-2120-5.ch017
R. Rastogi, D. Chaturvedi, M. Gupta
Development in the field of technology is growing with a fast pace, mainly the IoT (internet of things). It is an interface between machine-to-machine, machine-to-human, machine-to-infrastructure as well as machine-to-environment. Stress, especially TTH (tension type headache), is a serious problem in today's world. Now every person in this world is facing headache and stress-related problems in daily life. To measure the stress level, the authors have introduced the concept of EEG, EMG, and GSR biofeedback. In case of TTH, human is in a state in which one experiences pain like a physical weight or a tight band around one's head. TTH is different from migraine as it can be affected due to everyday activities. The most common type of primitive headache is tension type headache (TTH). The focus of the research work was to compare the impression of EMG-, GSR-, and EEG-integrated biofeedback on stress due to headache and quality of life of the subjects under consideration.
{"title":"Tension Type Headache","authors":"R. Rastogi, D. Chaturvedi, M. Gupta","doi":"10.4018/978-1-7998-2120-5.ch017","DOIUrl":"https://doi.org/10.4018/978-1-7998-2120-5.ch017","url":null,"abstract":"Development in the field of technology is growing with a fast pace, mainly the IoT (internet of things). It is an interface between machine-to-machine, machine-to-human, machine-to-infrastructure as well as machine-to-environment. Stress, especially TTH (tension type headache), is a serious problem in today's world. Now every person in this world is facing headache and stress-related problems in daily life. To measure the stress level, the authors have introduced the concept of EEG, EMG, and GSR biofeedback. In case of TTH, human is in a state in which one experiences pain like a physical weight or a tight band around one's head. TTH is different from migraine as it can be affected due to everyday activities. The most common type of primitive headache is tension type headache (TTH). The focus of the research work was to compare the impression of EMG-, GSR-, and EEG-integrated biofeedback on stress due to headache and quality of life of the subjects under consideration.","PeriodicalId":211178,"journal":{"name":"Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134072690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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