Abowd, Gregory D.

No-Look Notes: Accessible Eyes-Free Multi-touch Text Entry

Bonner, M. N., Brudvik, J. T., Abowd, G. D., & Edwards, W. K. (2010) · Lecture Notes in Computer Science

Tactile and Sensory InteractionsDigital Accessibility for Disabilities

Cited by 154

IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition

Kwon, H., Tong, C., Haresamudram, H., Gao, Y., Abowd, G. D., Lane, N. D., & Plötz, T. (2020) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 152

An evaluation of BrailleTouch: mobile touchscreen text entry for the visually impaired

Southern, C., Clawson, J., Frey, B., Abowd, G., & Romero, M. (2012) · Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services

Tactile and Sensory InteractionsAssistive Technology in Communication and Mobility

Cited by 125

FingerPing: Recognizing Fine-grained Hand Poses using Active Acoustic On-body Sensing

Zhang, C., Xue, Q., Waghmare, A., Meng, R., Jain, S., Han, Y., Li, X., Cunefare, K., Ploetz, T., Starner, T., et al. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Hand Gesture Recognition SystemsTactile and Sensory Interactions

Cited by 82

Inferring Mood Instability on Social Media by Leveraging Ecological Momentary Assessments

Saha, K., Chan, L., De Barbaro, K., Abowd, G. D., & De Choudhury, M. (2017) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Mental Health via WritingEmotion and Mood Recognition

Cited by 77

BrailleTouch: designing a mobile eyes-free soft keyboard

Romero, M., Frey, B., Southern, C., & Abowd, G. D. (2011) · Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services

Tactile and Sensory InteractionsAssistive Technology in Communication and Mobility

Cited by 54

Handling annotation uncertainty in human activity recognition

Kwon, H., Abowd, G. D., & Plötz, T. (2019) · Proceedings of the 23rd International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsMobile Crowdsensing and Crowdsourcing

Cited by 52

Approaching the Real-World: Supporting Activity Recognition Training with Virtual IMU Data

Kwon, H., Wang, B., Abowd, G. D., & Plötz, T. (2021) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 48

Social Media and Ubiquitous Technologies for Remote Worker Wellbeing and Productivity in a Post-Pandemic World

Das Swain, V., Saha, K., Abowd, G. D., & De Choudhury, M. (2020) · 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI)

Work-Family Balance ChallengesCyberloafing and Workplace Behavior

Cited by 38

Complex Deep Neural Networks from Large Scale Virtual IMU Data for Effective Human Activity Recognition Using Wearables

Kwon, H., Abowd, G. D., & Plötz, T. (2021) · Sensors

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 30

On specialized window lengths and detector based human activity recognition

Li, H., Abowd, G. D., & Plötz, T. (2018) · Proceedings of the 2018 ACM International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 19

IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition

Kwon, H., Tong, C., Haresamudram, H., Gao, Y., Abowd, G. D., Lane, N. D., & Ploetz, T. (2020) · arXiv

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 14