Larson, Eric C.

Most apparent distortion: full-reference image quality assessment and the role of strategy

Larson, E. C., & Chandler, D. M. (2010) · Journal of Electronic Imaging

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 1,953

SpiroSmart: using a microphone to measure lung function on a mobile phone

Larson, E. C., Goel, M., Boriello, G., Heltshe, S., Rosenfeld, M., & Patel, S. N. (2012) · Proceedings of the 2012 ACM Conference on Ubiquitous Computing

Chronic Obstructive Pulmonary Disease (COPD) ResearchMobile Health and mHealth Applications

Cited by 245

The design and evaluation of prototype eco-feedback displays for fixture-level water usage data

Froehlich, J., Findlater, L., Ostergren, M., Ramanathan, S., Peterson, J., Wragg, I., Larson, E., Fu, F., Bai, M., Patel, S., et al. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionPro-Environmental Behavior and Attitudes

Cited by 156

Swapped face detection using deep learning and subjective assessment

Ding, X., Raziei, Z., Larson, E. C., Olinick, E. V., Krueger, P., & Hahsler, M. (2020) · EURASIP Journal on Information Security

Digital Media Forensic DetectionFace recognition and analysis

Cited by 71

Explore Protein Conformational Space With Variational Autoencoder

Tian, H., Jiang, X., Trozzi, F., Xiao, S., Larson, E. C., & Tao, P. (2021) · Frontiers in Molecular Biosciences

Protein Structure and DynamicsComputational Drug Discovery Methods

Cited by 51

Tracking lung function on any phone

Larson, E. C., Goel, M., Redfield, M., Boriello, G., Rosenfeld, M., & Patel, S. N. (2013) · Proceedings of the 3rd ACM Symposium on Computing for Development

Chronic Obstructive Pulmonary Disease (COPD) ResearchMobile Health and mHealth Applications

Cited by 40

PupilWare: towards pervasive cognitive load measurement using commodity devices

Rafiqi, S., Wangwiwattana, C., Kim, J., Fernandez, E., Nair, S., & Larson, E. C. (2015) · Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments

Gaze Tracking and Assistive TechnologyHuman-Automation Interaction and Safety

Cited by 30

PupilNet, Measuring Task Evoked Pupillary Response using Commodity RGB Tablet Cameras: Comparison to Mobile, Infrared Gaze Trackers for Inferring Cognitive Load

Wangwiwattana, C., Ding, X., & Larson, E. C. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Gaze Tracking and Assistive TechnologyHuman-Automation Interaction and Safety

Cited by 26