HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Sensing, Recognition, and Security / Facial Expression Sensing

Can combining human annotation and automatic sampling improve atypical image classification model performance?

helpResearch questionFacial Expression Sensing

Can combining human annotation and automatic sampling improve atypical image classification model performance?

IUI '23Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality

Similar questions

helpResearch questionFacial Expression Sensing

Can mmWave radar achieve high-precision 3D facial landmark detection in dynamic scenes?

UbiComp '24High-Precision Spatial Sampling-Based Facial Keypoint Detection Using Millimeter-Wave Radar

helpResearch questionFacial Expression Sensing

How can spatial and temporal characteristics of mmWave radar signals extract facial structure and dynamic consistency features?

UbiComp '24High-Precision Spatial Sampling-Based Facial Keypoint Detection Using Millimeter-Wave Radar

helpResearch questionFacial Expression Sensing

How can mmWave radar technology replace traditional optical facial landmark detection while preserving privacy?

UbiComp '24High-Precision Spatial Sampling-Based Facial Keypoint Detection Using Millimeter-Wave Radar

helpResearch questionFacial Expression Sensing

How can low-power, continuous, high-precision facial expression tracking be achieved on smart glasses?

CHI '24EyeEcho: Continuous and Low-power Facial Expression Tracking on Glasses

helpResearch questionFacial Expression Sensing

How can FMCW audio signals detect facial skin deformation for real-time expression tracking?

CHI '24EyeEcho: Continuous and Low-power Facial Expression Tracking on Glasses

helpResearch questionFacial Expression Sensing

How can deep learning models be optimized for mobile devices to enable lightweight expression recognition?

CHI '24EyeEcho: Continuous and Low-power Facial Expression Tracking on Glasses

Related papers

EyeEcho: Continuous and Low-power Facial Expression Tracking on Glasses

Ke Li, Ruidong Zhang, Siyuan Chen