Recognizing sports activities from video frames using deformable convolution and adaptive multiscale features
L Xiao, Y Cao, Y Gai, E Khezri, J Liu… - Journal of Cloud …, 2023 - Springer
Automated techniques for evaluating sports activities inside dynamic frames are highly
dependent on advanced sports analysis by smart machines. The monitoring of individuals …
dependent on advanced sports analysis by smart machines. The monitoring of individuals …
Weighted voting ensemble of hybrid CNN-LSTM Models for vision-based human activity recognition
S Aggarwal, G Bhola, DK Vishwakarma - Multimedia Tools and …, 2024 - Springer
This research work aims to propose an ensemble model of different pre-trained CNN
networks combined with LSTM to detect a set of routine human activities practiced by the …
networks combined with LSTM to detect a set of routine human activities practiced by the …
A new in-air handwritten persian characters recognition method based on inertial sensor position estimation and convolutional neural network
F Meshkat, F Abdali-Mohammadi - Journal of Ambient Intelligence and …, 2023 - Springer
With advances in microelectromechanical systems (MEMS), researchers have now become
interested in the systems operating based on inertial signals. In fact, inertial signals have …
interested in the systems operating based on inertial signals. In fact, inertial signals have …
[PDF][PDF] Body Posture Criteria in Receiving Ball Technique Based on Body Height Indoor Hockey Player
I Zulkarnaen, SW Hernawan, K Tahki, I Sugihartono… - ijmra.in
The purpose of this research is to acknowledge body stance in receiving ball technique.
Indoor hockey is a sport with high intensity. Indoor hockey has some basic techniques, one …
Indoor hockey is a sport with high intensity. Indoor hockey has some basic techniques, one …
[引用][C] Faster Rcnn-Based Model for Street Littering Detection Under Different Lighting Conditions
AM Suarez, DFK Gom-os - Available at SSRN 4149717, 2017