Progress Estimation and Phase Detection for Sequential Processes

no code implementations • 28 Feb 2017 • Xinyu Li, Yanyi Zhang, Jianyu Zhang, Yueyang Chen, Shuhong Chen, Yue Gu, Moliang Zhou, Richard A. Farneth, Ivan Marsic, Randall S. Burd

For the Olympic swimming dataset, our system achieved an accuracy of 88%, an F1-score of 0. 58, a completeness estimation error of 6. 3% and a remaining-time estimation error of 2. 9 minutes.

Activity Recognition Multimodal Deep Learning

Concurrent Activity Recognition with Multimodal CNN-LSTM Structure

no code implementations • 6 Feb 2017 • Xinyu Li, Yanyi Zhang, Jianyu Zhang, Shuhong Chen, Ivan Marsic, Richard A. Farneth, Randall S. Burd

Our system is the first to address the concurrent activity recognition with multisensory data using a single model, which is scalable, simple to train and easy to deploy.

Concurrent Activity Recognition Decision Making