Guan, Yu

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables

Guan, Y., & Plötz, T. (2017) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHand Gesture Recognition Systems

Cited by 511

The future of sleep health: a data-driven revolution in sleep science and medicine

Perez-Pozuelo, I., Zhai, B., Palotti, J., Mall, R., Aupetit, M., Garcia-Gomez, J. M., Taheri, S., Guan, Y., & Fernandez-Luque, L. (2020) · npj Digital Medicine

Sleep and related disordersContext-Aware Activity Recognition Systems

Cited by 311

Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications: A Taxonomy and Survey

Qian, B., Su, J., Wen, Z., Jha, D. N., Li, Y., Guan, Y., Puthal, D., James, P., Yang, R., Zomaya, A. Y., et al. (2021) · ACM Computing Surveys

Internet of Things and AIIoT and Edge/Fog Computing

Cited by 132

Deep Learning for Human Activity Recognition in Mobile Computing

Plotz, T., & Guan, Y. (2018) · Computer

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

Cited by 99

Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers

Gao, Y., Long, Y., Guan, Y., Basu, A., Baggaley, J., & Ploetz, T. (2019) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsNeonatal and fetal brain pathology

Cited by 49

Designing Compact Features for Remote Stroke Rehabilitation Monitoring using Wearable Accelerometers

Chen, X., Guan, Y., Shi, J. Q., Du, X.-L., & Eyre, J. (2020) · arXiv

Stroke Rehabilitation and RecoveryContext-Aware Activity Recognition Systems

Cited by 8