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W-Trans: A Weighted Transition Matrix Learning Algorithm for the Sensor-based Human Activity Recognition
2020
IEEE Access
The sensor-based human activity recognition has been wildly applied in behavior tracking, health monitoring, indoor localization etc. Using activity continuity to assist activity recognition is an important research issue, in which the activity transition matrix which describes the activity transformation in real scenarios is the most important parameter. Aiming at the problem that the current classic transition matrix learning algorithm cannot fuse weights of sample classification results, a
doi:10.1109/access.2020.2984456
fatcat:ijnqnxtvmnellntyiqz5opbij4