A5059150102- Emotion and Mood Recognition
- Neuroscience and Music Perception
- Stuttering Research and Treatment
- Mental Health via Writing
- Schizophrenia research and treatment
- Psychosomatic Disorders and Their Treatments
- Topic Modeling
- Music and Audio Processing
- Language Development and Disorders
- Dermatoglyphics and Human Traits
- Personality Disorders and Psychopathology
- Traumatic Brain Injury Research
- Congenital heart defects research
- Speech Recognition and Synthesis
- Mental Health Research Topics
- Speech and dialogue systems
- Video Analysis and Summarization
- Attention Deficit Hyperactivity Disorder
- Psychopathy, Forensic Psychiatry, Sexual Offending
- Machine Learning in Healthcare
- Voice and Speech Disorders
- EEG and Brain-Computer Interfaces
Nanyang Technological University
2015-2022
International Medical University
2001
Negative symptoms in schizophrenia are associated with significant burden and possess little to no robust treatments clinical practice today. One key obstacle impeding the development of better treatment methods is lack an objective measure. Since negative almost always adversely affect speech production patients, dysfunction have been considered as a viable However, researchers mostly focused on verbal aspects speech, scant attention non-verbal cues speech. In this paper, we explored...
Abstract The Minnesota Multiphasic Personality inventory (MMPI) and, more recently, its revised version (the MMPI-2) have represented the "gold standard" in psychometric assessment of malingering and other response styles. In this study, we provide a stringent test MMPI-2 validity indices their ability to detect feigned schizophrenia four groups simulators (n = 72). Simulators were randomly assigned one conditions: (a) coached on symptoms schizophrenia, (b) strategies for detection fakers,...
Negative symptoms in schizophrenia are associated with significant burden and functional impairment, especially speech production. In clinical practice today, there no robust treatments for negative one obstacle surrounding its research is the lack of an objective measure. To this end, we explore non-verbal cues as measures. Specifically, extract these while schizophrenic patients interviewed by psychologists. We have analyzed interviews 15 who were enrolled observational study on...
Negative symptoms of schizophrenia are often associated with the blunting emotional affect which creates a serious impediment in daily functioning patients. Affective prosody is almost always adversely impacted such cases, and known to exhibit itself through low-level acoustic signals prosody. To automate simplify process assessment severity emotion related schizophrenia, we utilized these predict expert subjective ratings assigned by trained psychologist during an interview patient....
Schizophrenia and depression are the two most common mental disorders associated with negative symptoms that contribute to poor functioning quality of life for millions patients globally. This study is part a larger research project. The overall aim project develop an automated objective pipeline aids clinical diagnosis provides more insights into illnesses. In our previous work, we have analyzed non-verbal cues linguistic individuals schizophrenia. this study, extend work include...
Abstract Schizophrenia (SCZ) and depression (MDD) are two chronic mental disorders that seriously affect the quality of life millions people worldwide. We aim to develop machine-learning methods with objective linguistic, speech, facial, motor behavioral cues reliably predict severity psychopathology or cognitive function, distinguish diagnosis groups. collected analyzed facial expressions, body movement recordings 228 participants (103 SCZ, 50 MDD, 75 healthy controls) from separate...
Speech disorders are among the salient characteristics of negative symptoms schizophrenia. Such impairments often exhibited through disorganized speech, inappropriate affective prosody, and poverty speech. The current method detecting such requires expertise a trained clinician, which may be prohibitive due to cost, stigma or high patient-to-clinician ratio. An objective extract non-verbal verbal speech-related cues can help automate simplify assessment severity In this paper, novel...
Negative symptoms of schizophrenia significantly affect the daily functioning patients, especially movement and expressive gestures. The diagnosis such is often difficult require expertise a trained clinician. Apart from these subjective methods, there little research on developing objective methods to quantify symptoms. Therefore, we explore body signals as measures negative Specifically, extract video recordings patients being interviewed. We analysed interviews 69 paid participants (46 23...
Schizophrenia is a long-term mental disease associated with language impairments that affect about one percent of the population. Traditional assessment schizophrenic patients conducted by trained professionals, which requires tremendous resources time and effort. This study part larger research objective committed to creating automated platforms aid clinical diagnosis understanding schizophrenia. We have analyzed non-verbal cues movement signals in our previous work. In this study, we...
This paper proposes a real time sociometric system to analyze social behavior from audio-visual recordings of two-person face-to-face conversations in English. The novelty the proposed lies this automatic inference ten indicators time. comprises Microsoft kinect device that captures RGB and depth data compute visual cues microphones capture speech an on-going conversation. With these non-verbal as features, machine learning algorithms are implemented extract multiple including empathy,...