Welcome to week 5, currently being posted in week 10. Funny how calendars work isn't it?
This week saw the tragic demise of a close friend. Microsoft's Azure Kinect DK. It was put to rest after a much-needed upgrade in the hardware department allowed for better running of something that felt impossible to understand.
To summarise:
- The system's guides were too high level for me to understand in such a short time frame, having had no prior experience in the field.
- The system requires hardware that is far too expensive for it to be viable to continue as a method of home rehabilitation motion capture.
The system has its uses, just not for our research. It is a fantastic device and I am by no means putting it down. However for the stage of research we are in, it is not as useful as eagerly anticipated.
Anyway.
I continued to work on my Python code for the remainder of the week, having gotten to a stage where data is accepted and something does indeed get spat out at the other end. The next part of the plan was to use a statistical measure to analyze collected data against the perfect motion path detailed in week four.
I opted for root mean square error, as I wanted an error based on the difference across the entire dataset.
This worked well, as we shall discuss in the sixth and final instalment of the research blog series.
Stay tuned!
Arron J Thompson
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