activity
20172024
most citedConcurrent Activity Recognition with Multimodal CNN-LSTM Structure

32 citations · 83 across the 17 of their papers we have counts for

collaborators
Showing 2017Show all

5 papers · 1 filter

cs.DS2017

Process-oriented Iterative Multiple Alignment for Medical Process Mining

Shuhong Chen, Sen Yang, Moliang Zhou +2

Adapted from biological sequence alignment, trace alignment is a process mining technique used to visualize and analyze workflow data. Any analysis done with this method, however,…

cs.CV2017★ 8 cited

Online People Tracking and Identification with RFID and Kinect

Xinyu Li, Yanyi Zhang, Ivan Marsic +1

We introduce a novel, accurate and practical system for real-time people tracking and identification. We used a Kinect V2 sensor for tracking that generates a body skeleton for up…

cs.CV2017★ 32 cited

Concurrent Activity Recognition with Multimodal CNN-LSTM Structure

Xinyu Li, Yanyi Zhang, Jianyu Zhang +4

We introduce a system that recognizes concurrent activities from real-world data captured by multiple sensors of different types. The recognition is achieved in two steps. First, w…

cs.LG2017

Progress Estimation and Phase Detection for Sequential Processes

Xinyu Li, Yanyi Zhang, Jianyu Zhang +7

Process modeling and understanding are fundamental for advanced human-computer interfaces and automation systems. Most recent research has focused on activity recognition, but litt…

cs.OH2017★ 8 cited

Evaluation of Trace Alignment Quality and its Application in Medical Process Mining

Moliang Zhou, Sen Yang, Shuyu Lv +5

Trace alignment algorithms have been used in process mining for discovering the consensus treatment procedures and process deviations. Different alignment algorithms, however, may…