Certainly! In the context of your project, let's elaborate on how the Head-Eye Tracker model components and functionalities can be applied:
Head Pose Estimation: The Head-Eye Tracker model can estimate the driver's head pose, providing information about the orientation and position of the driver's head relative to the vehicle coordinate reference frame. This information can be used to determine if the driver's head is within the desired range, such as the yaw and pitch angles, indicating that they are facing forward and focused on the road.
Eye Tracking: By tracking the driver's eye movements, the model can provide insights into their attention and focus. It can detect if the driver's eyes are open or closed, if they are looking left, right, or center, and track eye movements during different driving scenarios. This information can be utilized to assess driver alertness, detect signs of drowsiness or distraction, and trigger appropriate warnings or interventions.
Glasses Detection: The glasses detection component of the model can determine if the driver is wearing NIR blocking glasses. This is particularly important for accurately tracking the driver's eye movements and estimating their gaze direction. The model can account for the presence of glasses and adapt its tracking algorithms accordingly to ensure accurate and reliable results.
Gaze Estimation: With the eye positions and landmarks, the model can estimate the driver's gaze direction, providing information about where the driver is looking within the car's interior. This can be used to identify if the driver's gaze is directed towards the road (windscreen area) or other areas such as the instrument cluster, infotainment system, or passenger display. Gaze estimation can be valuable for understanding the driver's focus and attention distribution, assessing distraction levels, and designing appropriate user interfaces or alerts.
Intersection with Car Interior: By incorporating an internal 3D representation of the car's interior, the model can determine where the driver's computed gaze direction intersects with specific regions within the car. This information can be used to assess if the driver's gaze is within the desired areas, such as the windscreen area for maintaining visual attention on the road or the distracted driving area, which may indicate potential distraction or inattentiveness.
By integrating these components and functionalities into your project, you can build a comprehensive system for monitoring driver behavior, detecting distractions, assessing alertness levels, and providing feedback or interventions when necessary. This can contribute to enhancing safety and improving the overall driving experience for the users of your system.