東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Using machine learning to detect emotions and predict human psychology

Record Type:	Electronic resources : Monograph/item
Title/Author:	Using machine learning to detect emotions and predict human psychology/ Mritunjay Rai, Jay Kumar Pandey, editors.
other author:	Pandey, Jay Kumar,
Published:	Hershey, Pennsylvania :IGI Global, : 2024.,
Description:	1 online resource (313 p.)
[NT 15003449]:	Chapter 1. Introduction to emotion detection and predictive psychology in the age of technology -- Chapter 2. Unraveling the world of artificial emotional intelligence -- Chapter 3. Ethical considerations in emotion data collection and IoT integration -- Chapter 4. Bridging the gap: emotional intelligence, AEI, and predicting human behavior -- Chapter 5. Predictive pioneers: bridging the mental health gap in older adults through advanced digital technologies -- Chapter 6. Designing LSTM networks for emotion modelling -- Chapter 7. Pattern analysis for feature extraction in complex images -- Chapter 8. Decoding the human canvas: unraveling emotions through advanced facial profiling -- Chapter 9. Mental health in messages: unravelling emotional patterns through advanced text analysis -- Chapter 10. Detection of posture using MS-IoT-based solution to provide timely treatment -- Chapter 11. Exploring the utility of emotion recognition systemsin healthcare.
Subject:	Emotions - Data processing. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1910-9
ISBN:	9798369319116

Using machine learning to detect emotions and predict human psychology
Using machine learning to detect emotions and predict human psychology[electronic resource] /Mritunjay Rai, Jay Kumar Pandey, editors. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (313 p.)

Includes bibliographical references and index.

Chapter 1. Introduction to emotion detection and predictive psychology in the age of technology -- Chapter 2. Unraveling the world of artificial emotional intelligence -- Chapter 3. Ethical considerations in emotion data collection and IoT integration -- Chapter 4. Bridging the gap: emotional intelligence, AEI, and predicting human behavior -- Chapter 5. Predictive pioneers: bridging the mental health gap in older adults through advanced digital technologies -- Chapter 6. Designing LSTM networks for emotion modelling -- Chapter 7. Pattern analysis for feature extraction in complex images -- Chapter 8. Decoding the human canvas: unraveling emotions through advanced facial profiling -- Chapter 9. Mental health in messages: unravelling emotional patterns through advanced text analysis -- Chapter 10. Detection of posture using MS-IoT-based solution to provide timely treatment -- Chapter 11. Exploring the utility of emotion recognition systemsin healthcare.

"In the realm of analyzing human emotions through Artificial Intelligence (AI), a myriad of challenges persist. From the intricate nuances of emotional subtleties to the broader concerns of ethical considerations, privacy implications, and the ongoing battle against bias, AI faces a complex landscape when venturing into the understanding of human emotions. These challenges underscore the intricate balance required to navigate the human psyche with accuracy.The book, Using Machine Learning to Detect Emotions and Predict Human Psychology, serves as a guide for innovative solutions in the field of emotion detection through AI. It explores facial expression analysis, where AI decodes real-time emotions through subtle cues such as eyebrow movements and micro-expressions. In speech and voice analysis, the book unveils how AI processes vocal nuances to discern emotions, considering elements like tone, pitch, and language intricacies. Additionally, the power of text analysis is of great importance, revealing how AI extracts emotional tones from diverse textual communications. By weaving these systems together, the book offers a holistic solution to the challenges faced by AI in understanding the complex landscape of human emotions."--

ISBN: 9798369319116Subjects--Topical Terms:

2203072
Emotions
--Data processing.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: BF531 / .U65 2024e

Dewey Class. No.: 152.4

Using machine learning to detect emotions and predict human psychology
LDR:03080nmm a2200241 a 4500 001 2378492
006 m d
007 cr nn muauu
008 250310s2024 pau fob 001 0 eng d
020 $a 9798369319116 $q (ebook)
020 $a 9798369319109 $q (print)
035 $a (OCoLC)1419446331
035 $a 00330758
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
041 0 $a eng
050 4 $a BF531 $b .U65 2024e
082 0 4 $a 152.4 $2 23
245 0 0 $a Using machine learning to detect emotions and predict human psychology $h [electronic resource] / $c Mritunjay Rai, Jay Kumar Pandey, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2024.
300 $a 1 online resource (313 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Introduction to emotion detection and predictive psychology in the age of technology -- Chapter 2. Unraveling the world of artificial emotional intelligence -- Chapter 3. Ethical considerations in emotion data collection and IoT integration -- Chapter 4. Bridging the gap: emotional intelligence, AEI, and predicting human behavior -- Chapter 5. Predictive pioneers: bridging the mental health gap in older adults through advanced digital technologies -- Chapter 6. Designing LSTM networks for emotion modelling -- Chapter 7. Pattern analysis for feature extraction in complex images -- Chapter 8. Decoding the human canvas: unraveling emotions through advanced facial profiling -- Chapter 9. Mental health in messages: unravelling emotional patterns through advanced text analysis -- Chapter 10. Detection of posture using MS-IoT-based solution to provide timely treatment -- Chapter 11. Exploring the utility of emotion recognition systemsin healthcare.
520 3 $a "In the realm of analyzing human emotions through Artificial Intelligence (AI), a myriad of challenges persist. From the intricate nuances of emotional subtleties to the broader concerns of ethical considerations, privacy implications, and the ongoing battle against bias, AI faces a complex landscape when venturing into the understanding of human emotions. These challenges underscore the intricate balance required to navigate the human psyche with accuracy.The book, Using Machine Learning to Detect Emotions and Predict Human Psychology, serves as a guide for innovative solutions in the field of emotion detection through AI. It explores facial expression analysis, where AI decodes real-time emotions through subtle cues such as eyebrow movements and micro-expressions. In speech and voice analysis, the book unveils how AI processes vocal nuances to discern emotions, considering elements like tone, pitch, and language intricacies. Additionally, the power of text analysis is of great importance, revealing how AI extracts emotional tones from diverse textual communications. By weaving these systems together, the book offers a holistic solution to the challenges faced by AI in understanding the complex landscape of human emotions."-- $c Provided by publisher.
650 0 $a Emotions $x Data processing. $3 2203072
650 0 $a Machine learning. $3 533906
650 0 $a Psychology. $3 519075
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Pandey, Jay Kumar, $d 1987- $3 3729994
700 1 $a Rai, Mritunjay, $d 1985- $3 3729995
710 2 $a IGI Global. $3 1361470
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1910-9