Continuous monitoring of ALS symptoms is crucial to improve quality of life because both survival and progression rate can vary substantially between individuals. Speech and facial biomarkers can serve as useful proxies for disease progression and …
Conversational dialog technology is increasingly being recognized as auseful means of automating remote patient monitoring and diagnostics for dysarthric speakers at scale. However, the characteristics of dysarthric speech introduce multiple …
The causes of schizophrenia are complex and largely unknown. Current treatments focus on the management of positive or psychotic symptoms. However, negative symptoms like lack of facial and verbal expression, monotone speech, social withdrawal and …
We explore the utility of an on-demand multimodal conversational platform in extracting speech and facial metrics in children with Autism Spectrum Disorder (ASD). We investigate the extent to which these metrics correlate with objective clinical …
We propose a cloud-based multimodal dialog platform for the remote assessment and monitoring of Amyotrophic Lateral Sclerosis (ALS) at scale. This paper presents our vision, technology setup, and an initial investigation of the efficacy of the …
We investigate the utility of audiovisual dialog systems combined with speech and video analytics for real-time remote monitoring of depression at scale in uncontrolled environment settings. We collected audiovisual conversational data from …
We present NEMSI, a cloud-based multimodal dialog system designed to have naturalistic interactions with individuals for the purpose of screening neurological or mental conditions. The system has been used by thousands of people capturing audio and …