Statistical and clinical utility of multimodal dialogue-based speech and facial metrics for Parkinson's disease assessment.
Hardik KothareMichael NeumannJackson LiscombeOliver RoeslerWilliam BurkeAndrew ExnerSandy SnyderAndrew CornishDoug HabberstadDavid PautlerDavid Suendermann-OeftJessica HuberVikram RamanarayananPublished in: INTERSPEECH (2022)
Keyphrases
- disease diagnosis
- dialogue system
- spoken language
- audio visual
- emotion recognition
- spoken dialogue systems
- disease progression
- statistical analysis
- multimodal interfaces
- facial images
- speech recognition
- diagnostic process
- clinical applications
- multi modal
- multimodal interaction
- facial expressions
- maxillofacial surgery
- clinical data
- speech signal
- bladder cancer
- breast cancer patients
- medical doctors
- multiple sclerosis
- utility function
- face recognition
- patient data
- physiological processes
- affect sensing
- patient groups
- affect detection
- diabetic patients
- cancer patients
- multi stream
- facial expression recognition
- human faces
- medical treatment
- clinical studies
- breast cancer
- statistical methods
- early diagnosis
- intraoperative
- cardiovascular disease
- chronic obstructive pulmonary disease
- broadcast news