##Live presentation feedback and analytics for Google Glass.
###Helps improve your visual spread, and maintain consistent speech volume and pace.
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###Before presenting, perform the simple calibration steps.
- Tap while looking left and then right. This stores compass headings which are used to define the boundaries of the audience.
- Tap and say the first sentence of your presentation. This is used to determine the desired speech volume for your presentation.
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###During your presentation, Dais provides (optional) live micro-feedback to help improve your performance.
- A left/right arrow indicates that you haven't looked at the other side of the audience in a while.
- An up arrow indicates that you've been looking down at your notes for too long, and should look back up at the audience.
- A "Face forward!" prompt indicates that you're facing away from the audience. Useful for slide-based presentations, where it can be tempting to turn your back on your audience and read off your slides.
- A "Speak up!" prompt indicates that the volume of your voice has fallen too far below the ideal speech threshold for your presentation. In other words: stop mumbling.
- The rest of the time, Dais maintains a blank screen and stays out of your way.
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###After your presentation, view analytics about your performance using Glass or the companion web app.
####A heatmap of your head orientation summarizes your visual spread across the audience, and shows you where to focus next time.
- This presenter focused too much on the right side of the audience.
####A line graph of your voice level shows how well you maintained your ideal speech volume.
- This presenter started and ended their presentation with a strong voice, but dropped down to the "mumble threshold" during the middle.
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###As an open-source app, Dais is ripe for extensions and enhancements:
- Integrate a pedometer to track presenter's footsteps. Dais could tell presenters to move around if they've been standing still too long, or tell them to plant their feet for a moment if they're pacing around too much.
- Implement background speech recognition to perform a variety of tasks:
- Provide users a transcript of their presentation.
- Give live feedback to discourage presenters from using "filler words" ("uh," "um," etc.).
- Give live feedback to presenters to speak slower or faster, by analyzing speech pace (words/syllables per minute).
- Add gesture recognition functionality using a wrist-based wearable device (like an Android Wear watch). Give users feedback on the frequency and variety of their hand/arm gestures, as well as other body language.
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- Dais uses example code from the GDK Compass and GDK Waveform samples.