为了验证手势是否匹配,研究团队采用了“模式识别”算法,将每个手势与一套储存的模版进行比对,同时计算出每次解锁操作的平均分。分数高于特定阈值的解锁操作就能获准进入。
“You never can, in any case—with any kind of meaningfully complex gesture—repeat it exactly the same way,” Lindqvist said, noting that it takes at least three repetitions, or templates, for a gesture to become stable. (For improved accuracy, the study used 10 templates per participant.)
林奎斯特说:“无论如何,对于复杂的手势,大家绝对不可能做到百分之百准确重现。”林奎斯特指出,至少需要三次重复或模板才能使手势稳定。(为了提高准确度,在研究中对每位被试者采用了10个模板。)
The researchers also used a flexible algorithm. Participants were able to draw anywhere on the device’s screen at whatever size and angle they wished, as long as the shape of the gesture was correct. Such flexibility may allow single gestures to adapt across platforms: for instance, on the larger screen of a tablet versus the smaller screen of a smartphone.
研究者还使用了一种适应性很强的算法。被试者们能够在移动设备屏幕的任何地方、以任意角度画出图案,大小也可随心所欲,只要手势的形状正确即可。这样灵活的算法可以让同一手势跨平台使用,例如大屏幕的平板和屏幕相对较小的智能手机能使用相同的手势密码。
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