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Welcome to the public review site of papers appearing in MobiSys 2012. Here you can find the public review written by a PC member for each paper and the authors' rebuttal to it. You can comment on any of them or add your own opinion. Finally you can vote to "like" or "dislike" a paper by clicking the up or down arrows next to its title.

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[–]ConferenceQA 0 points1 point ago

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Q: (Yahoo!) What are the important features among them? You used several ML techniques - which worked better?

A: 1st order derivative was the best feature (clearly captures shape) SVM, Random forest

[–]ConferenceQA 0 points1 point ago

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Q: (MIT) Noticed you had orientation - why not 2-thumbs portrait, which is the common way to use it?

A: We overlooked it. May not provide a big difference. We can explore it.

Q: How about different screens? e.g., Shift key + key

A: Yes - larger number of labels. We haven’t done it - but we can infer it.

[–]ConferenceQA 0 points1 point ago

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Q: (Max Planck) Nice sidechannel attack -- did you try swipe input, or the Swype app?

A: We haven’t yet but it’s in the pipeline

[–]ConferenceQA 0 points1 point ago

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Q: (Singapore) Do your numbers change for different volunteers (male vs. female etc.)?

A: Tried with 1 left-handed, male and female mixed. Looked pretty good across all users

[–]ConferenceQA 0 points1 point ago

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Q: (Msft) Can you move the sensor? Does it affect accuracy?

A: Yes, it does affect accuracy. We don’t know where the sensors are positioned so need to look at per-device.

[–]ConferenceQA 0 points1 point ago

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Q: How do you detect it? i.e., how can you detect that tap-capture and inference is being done so we can highlight this?

A: This is the challenge. We don’t have a clear answer - seeing if vendors embrace idea and can change this ..