MTAGIC Project: Gesture analysis

In our last post we discussed how we were working on replicating analyses from previous studies. We have completed these analyses and written and submitted a paper on our findings. When our paper is accepted, we will post the abstract and announce our findings! Since then, we’ve begun exploring the data in greater detail by looking at how gesture samples differ among different age groups and how other factors, such as handedness, affect gesture articulation. We will also examine the common mistakes recognizers made on kids’ gestures from our study so we can later improve on them.

Working on this study has given me a good understanding of how gesture recognition algorithms work and where their weaknesses lie. I’ve also learned a lot about the kinds of experiments used to test recognizers. I’m excited to be a part of the project and I look forward to diving into the data in more detail.

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