##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.