| dc.description.abstract | Human behaviour reflects cognitive abilities. Human cognition is fundamentally linked to the different experiences
or characteristics of consciousness/emotions, such as joy, grief, anger, etc., which assists in effective communication
with others. Detection and differentiation between thoughts, feelings, and behaviours are paramount in learning
to control our emotions and respond more effectively in stressful circumstances. The ability to perceive, analyse,
process, interpret, remember, and retrieve information while making judgments to respond correctly is referred
to as Cognitive Behavior. After making a significant mark in emotion analysis, deception detection is one of the key
areas to connect human behaviour, mainly in the forensic domain. Detection of lies, deception, malicious intent,
abnormal behaviour, emotions, stress, etc., have significant roles in advanced stages of behavioral science. Artificial
Intelligence and Machine learning (AI/ML) has helped a great deal in pattern recognition, data extraction and analysis,
and interpretations. The goal of using AI and ML in behavioral sciences is to infer human behaviour, mainly for mental health or forensic investigations. The presented work provides an extensive review of the research on cognitive
behaviour analysis. A parametric study is presented based on different physical characteristics, emotional behaviours,
data collection sensing mechanisms, unimodal and multimodal datasets, modelling AI/ML methods, challenges,
and future research directions. | vi |
