The document summarizes a retrospective for Sprint 1 of Project No-Xclude, which aims to modify the Kinect's motion algorithm to recognize seated players. The sprint objective was to sketch several positions the finished project will support to guide further research. Four initial positions were tested: stationary, side bend, forward bend, and punching. A Six Thinking Hats analysis was conducted, with the red hat noting satisfactory progress determining supported positions, the green hat proposing faster frame rates, and the black hat flagging limitations of 2D graphics.

1. PROJECT NO-
X-CLUDE:
Motion Gaming
For Everyone
Eric Maly
University of Advancing Technology
October 22, 2011

2. Sprint 1 Retrospective
 SIP
Objective: Project No-Xclude reworks
the Kinect’s motion algorithm for
accurate recognition of players in a
seated position.
 Sprint Objective: To sketch out several of
the positions that the finished project will
be able to accommodate. This will
provide perspective and guide specific
areas of further research (i.e. pathfinding).

3. Position 1: Stationary

4. Position 2: Side Bend

5. Position 3: Forward Bend

6. Position 4: Punching

7. Six Thinking Hats Analysis
 Red Hat– I feel the project is making satisfactory progress;
some of the major positions that the final algorithm will support
have been determined
 Green Hat – One of the things I will attempt to do to stabilize
the skeletal image is to speed up the frame rate of the
program
 Yellow Hat – I got some experience using the skeletal viewer
example program; it allowed me to identify the interference
that may be causing recognition problems
 Black Hat –2D graphics programs do not accurately represent
the ideal positions (or I don’t have the graph knowledge to do
so)
 Blue Hat – I spent too much time trying to get the graphics to
show what they needed to; perhaps next time I’ll call in some
help with that part (or consult some books if absolutely
necessary)