User's Gaze Tracking System and Its Application Using Head Pose Estimation

Energy-Aware Mobile Edge Computing for Low-Latency Visual Data Processing

“…1. each packet header contains a target region (e.g., destination IP address and its GPS location) and its corresponding forwarding policy (i.e., energy-efficient versus low-latency) 2. each node knows locations and remaining energy levels of all its neighbor, e.g., by periodically beaconing them 1 3. each node also aware about local obstacles' radius and location detected by the…”

“…Especially for applications such as disaster incident response or law enforcement, visual data (e.g., high-resolution images, video clips) from IoT devices needs to be processed in real-time. For instance, the streaming application run 30 frame per seconds, but face detection only require first frame in the sequence [1]. Thus, the visual data processing application can reduce to 15 frame per seconds or approximately 0.1 second per image and save bandwidth as well as conserve real-time feature.…”

NUI framework based on real-time head pose estimation and hand gesture recognition

“…Due to this process, it is possible to perform stable gaze tracking. Figure 1 shows the structure of head pose estimation module [8]. …”

“…In order to solve this problem, we perform correction process using Kalman filter. The Kalman filter has numerous applications in technology because of its convenient form for real time processing and easy to implement given a basic understanding [8]. HandGKET runs, first load the gesture key mapping script, and stores it in inter-memory.…”

“…Accurately localizing the head and its orientation is either the explicit goal of systems like human computer interfaces or a necessary pre-processing step for further analysis, such as identification or facial expression recognition. Due to its relevance and to the challenges posed by the problem, there has been considerable effort in the computer vision community to develop fast and reliable algorithms for head pose estimation [6][7][8].…”