A fall detection method based on a joint motion map using double convolutional neural networks.
Multim. Tools Appl., 2022
Multi-scale feature learning and temporal probing strategy for one-stage temporal action localization.
Int. J. Intell. Syst., 2022
A data augmentation method for human action recognition using dense joint motion images.
Appl. Soft Comput., 2020
Support vector machine approach to fall recognition based on simplified expression of human skeleton action and fast detection of start key frame using torso angle.
IET Comput. Vis., 2018
Detection of Human Falls on Furniture Using Scene Analysis Based on Deep Learning and Activity Characteristics.
IEEE Access, 2018
AEPE: An area and power efficient RRAM crossbar-based accelerator for deep CNNs.
Proceedings of the IEEE 6th Non-Volatile Memory Systems and Applications Symposium, 2017
A New Kinect Approach to Judge Unhealthy Sitting Posture Based on Neck Angle and Torso Angle.
Proceedings of the Image and Graphics - 9th International Conference, 2017
A Multi-attribute Model to Compute Review's Value in C2C.
J. Comput., 2014