Explainable AI applications for human behavior analysis:
In the field of computer vision research, the study of human behavior is a formidable challenge. The diverse applications of this field, from video surveillance for crowd analysis to healthcare diagnostics, have drawn increasing attention. However, a significant problem persists - the sacrifice of t...
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Weitere Verfasser: | , , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2024
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Schlagworte: | |
Online-Zugang: | DE-91 DE-898 DE-1050 Volltext |
Zusammenfassung: | In the field of computer vision research, the study of human behavior is a formidable challenge. The diverse applications of this field, from video surveillance for crowd analysis to healthcare diagnostics, have drawn increasing attention. However, a significant problem persists - the sacrifice of transparency for the sake of predictive accuracy in Artificial Intelligence (AI) solutions. These AI systems often operate as enigmatic black boxes, seemingly conjuring decisions from vast datasets with little to no explanation. The need for clarity and accountability in AI decision-making is paramount as our reliance on these systems continues to grow.Explainable AI Applications for Human Behavior Analysis embarks on a mission to harness AI's innate capability to elucidate upon its own decision-making processes. By focusing on facial expressions, gestures, and body movements, we delve into uncharted territories of research, offering novel methodologies, databases, benchmarks, and algorithms for the analysis of human behavior in natural settings. Geared toward academic scholars, this book compiles the expertise of leading researchers in the field, making it accessible to readers of all educational backgrounds. |
Beschreibung: | 1 Online-Ressource (369 Seiten) |
DOI: | 10.4018/979-8-3693-1355-8 |
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520 | |a In the field of computer vision research, the study of human behavior is a formidable challenge. The diverse applications of this field, from video surveillance for crowd analysis to healthcare diagnostics, have drawn increasing attention. However, a significant problem persists - the sacrifice of transparency for the sake of predictive accuracy in Artificial Intelligence (AI) solutions. These AI systems often operate as enigmatic black boxes, seemingly conjuring decisions from vast datasets with little to no explanation. The need for clarity and accountability in AI decision-making is paramount as our reliance on these systems continues to grow.Explainable AI Applications for Human Behavior Analysis embarks on a mission to harness AI's innate capability to elucidate upon its own decision-making processes. By focusing on facial expressions, gestures, and body movements, we delve into uncharted territories of research, offering novel methodologies, databases, benchmarks, and algorithms for the analysis of human behavior in natural settings. Geared toward academic scholars, this book compiles the expertise of leading researchers in the field, making it accessible to readers of all educational backgrounds. | ||
650 | 4 | |a Artificial intelligence | |
650 | 4 | |a Human behavior |x Study and teaching | |
650 | 4 | |a Psychology |x Computer simulation | |
650 | 4 | |a Psychology |x Data processing | |
700 | 1 | |a Chinnusamy, Karthikeyan |d 1973- |4 edt | |
700 | 1 | |a Joseph, Ferdin Joe John |d 1987- |4 edt | |
700 | 1 | |a Paramasivan, P. |d 1985- |4 edt | |
700 | 1 | |a Rajest, S. Suman |d 1988- |4 edt | |
700 | 1 | |a Regin, R. |d 1985- |4 edt | |
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discipline | Informatik Psychologie Wirtschaftswissenschaften |
doi_str_mv | 10.4018/979-8-3693-1355-8 |
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language | English |
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spelling | Explainable AI applications for human behavior analysis P. Paramasivan, S. Suman Rajest, Karthikeyan Chinnusamy, R. Regin, Ferdin Joe John Joseph, editors Explainable artificial intelligence applications for human behavior analysis Hershey, Pennsylvania IGI Global 2024 1 Online-Ressource (369 Seiten) txt rdacontent c rdamedia cr rdacarrier In the field of computer vision research, the study of human behavior is a formidable challenge. The diverse applications of this field, from video surveillance for crowd analysis to healthcare diagnostics, have drawn increasing attention. However, a significant problem persists - the sacrifice of transparency for the sake of predictive accuracy in Artificial Intelligence (AI) solutions. These AI systems often operate as enigmatic black boxes, seemingly conjuring decisions from vast datasets with little to no explanation. The need for clarity and accountability in AI decision-making is paramount as our reliance on these systems continues to grow.Explainable AI Applications for Human Behavior Analysis embarks on a mission to harness AI's innate capability to elucidate upon its own decision-making processes. By focusing on facial expressions, gestures, and body movements, we delve into uncharted territories of research, offering novel methodologies, databases, benchmarks, and algorithms for the analysis of human behavior in natural settings. Geared toward academic scholars, this book compiles the expertise of leading researchers in the field, making it accessible to readers of all educational backgrounds. Artificial intelligence Human behavior Study and teaching Psychology Computer simulation Psychology Data processing Chinnusamy, Karthikeyan 1973- edt Joseph, Ferdin Joe John 1987- edt Paramasivan, P. 1985- edt Rajest, S. Suman 1988- edt Regin, R. 1985- edt Erscheint auch als Druck-Ausgabe 9798369313558 https://doi.org/10.4018/979-8-3693-1355-8 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Explainable AI applications for human behavior analysis Artificial intelligence Human behavior Study and teaching Psychology Computer simulation Psychology Data processing |
title | Explainable AI applications for human behavior analysis |
title_alt | Explainable artificial intelligence applications for human behavior analysis |
title_auth | Explainable AI applications for human behavior analysis |
title_exact_search | Explainable AI applications for human behavior analysis |
title_full | Explainable AI applications for human behavior analysis P. Paramasivan, S. Suman Rajest, Karthikeyan Chinnusamy, R. Regin, Ferdin Joe John Joseph, editors |
title_fullStr | Explainable AI applications for human behavior analysis P. Paramasivan, S. Suman Rajest, Karthikeyan Chinnusamy, R. Regin, Ferdin Joe John Joseph, editors |
title_full_unstemmed | Explainable AI applications for human behavior analysis P. Paramasivan, S. Suman Rajest, Karthikeyan Chinnusamy, R. Regin, Ferdin Joe John Joseph, editors |
title_short | Explainable AI applications for human behavior analysis |
title_sort | explainable ai applications for human behavior analysis |
topic | Artificial intelligence Human behavior Study and teaching Psychology Computer simulation Psychology Data processing |
topic_facet | Artificial intelligence Human behavior Study and teaching Psychology Computer simulation Psychology Data processing |
url | https://doi.org/10.4018/979-8-3693-1355-8 |
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