Simultaneous Learning from Human Pose and Object Cues for Real-Time Activity Recognition
Brian Reily,Qingzhao Zhu,Christopher Reardon,Hao Zhang,Brian Reily,Qingzhao Zhu,Christopher Reardon,Hao Zhang
Real-time human activity recognition plays an essential role in real-world human-centered robotics applications, such as assisted living and human-robot collaboration. Although previous methods based on skeletal data to encode human poses showed promising results on real-time activity recognition, they lacked the capability to consider the context provided by objects within the scene and in use by...
