Outline DRAFT
Modelling Human Hand-Eye
Coordination Using Recurrent Neural Networks
- Introduction
- What the presentation is going
to discuss/ introduce the project
·
Rationale
o
The
goal of this project is to …
·
Background
A. Recurrent neural network (RNN)
§ A RNN is a class of artificial
neural network where connections between units form a directed cycle, allowing
dynamic temporal behaviour.
§ Dynamic temporal behaviour
§ The
trajectory of states, in a state space, followed by a system during a certain
time interval[TM1] .
B. Machine/reinforcement/deep learning
§
C. Eye movements and uses for
navigation and coordination
§
D. Virtual Reality simulation
§ explain VR first (present the uses
of VR in the experiment e.g. controlled variables and easy data collection)
·
Method
o
Collect
hand, head, and gaze data from various subjects age ?-? (<=too specific?) using
VR (go into more detail[TM2] )
·
Results
o
·
Discussion
o
Discuss
results and relate them to scope (papers I’ve been reading and how this can
help future robotics e.g. navigation, task management, grasp, etc.)
o
Make
solid conclusions of research and what I’ve personally learned at RIT
·
My
contributions
o
Assisted
in the creation of an in-engine media system in which the simulation can be
played, paused, move forward by a frame, and move backwards by a frame[TM4] .
o
Assisted
in the implementation of multiple viewpoints within the simulation including,
fixed position, ball tracking, and free camera[TM5] .
[TM3]Use
the papers I’ve been analyzing to create a list of scopes this research could
benefit in robotics development
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