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Found 8 papers, 1 papers with code
From User Surveys to Telemetry-Driven Agents: Exploring the Potential of Personalized Productivity Solutions
We present a comprehensive, user-centric approach to understand preferences in AI-based productivity agents and develop personalized solutions tailored to users' needs.
Affective Conversational Agents: Understanding Expectations and Personal Influences
The rise of AI conversational agents has broadened opportunities to enhance human capabilities across various domains.
SCAMPS: Synthetics for Camera Measurement of Physiological Signals
The use of cameras and computational algorithms for noninvasive, low-cost and scalable measurement of physiological (e. g., cardiac and pulmonary) vital signs is very attractive.
Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing
We present systematic experiments showing how physiologically-grounded synthetic data can be used in training camera-based multi-parameter cardiopulmonary sensing.
DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization
We show that person-independent models yield significantly lower performance (55% average F1 and accuracy across 40 subjects) than person-dependent models (60. 3%), leading to a generalization gap of 5. 3%.
Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars
Non-contact physiological measurement has the potential to provide low-cost, non-invasive health monitoring.
Long-Term Noise Characterization of Narrowband Power Line Communications
Noise modeling in power line communications has recently drawn the attention of researchers.
Estimating Carotid Pulse and Breathing Rate from Near-infrared Video of the Neck
Objective: Non-contact physiological measurement is a growing research area that allows capturing vital signs such as heart rate (HR) and breathing rate (BR) comfortably and unobtrusively with remote devices.
