Visible Position Estimation in Whole Wrist Circumference Device towards Forearm Pose-aware Display
Visible Position Estimation in Whole Wrist Circumference Device towards Forearm Pose-aware Display
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DOI：
10.4108/eai.14-3-2018.154341
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发表时间：
2018-03
期刊：
影响因子：
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通讯作者：
Yuki Tanida;K. Fujinami
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文献类型：
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作者：
Yuki Tanida;K. Fujinami
智能手表允许即时访问信息；然而，根据前臂的姿势，视觉Notifi连接并不总是可以到达的。灵活和弯曲的显示技术可以实现全腕周显示，使用姿势感知在最可见的位置显示信息。实现了一个样机，手腕上有10个LED和10个加速度计。最明显的LED是使用机器学习技术估计的。其主要思想是利用原始加速度信号和最明显的LED位置之间的直接关系，而不是通过特定的活动类别或基于正向运动学模型的估计来分配位置。此外，还尝试通过引入新功能来减少传感器。一项用户研究表明，该系统允许89.9%的系统判断为fit，与用户的期望相差1LED(18 Mm)。旋转敏感的特征被证明是信息性的，放置在手腕内侧的单个传感器的性能水平与使用所有(10)个传感器时的性能水平相当(F-测量0.681)。
Smart watches allow instant access to information; however, the visual notification is not always reachable depending on the forearm posture. Flexible and curved display technologies can enable full-wrist circumference displays that show information at the most visible positions using pose awareness. A prototype device is implemented with 10 LEDs and 10 accelerometers around the wrist. The most visible LED is estimated using a machine learning technique. The main idea is to utilize direct relationship between the raw acceleration signals and the position of the most visible LED, rather than assigning the position by particular classes of activities or forward-kinematic model-based estimation. Also, sensor reduction is attempted by introducing new features. A user study showed that the system allowed 89.9 % of the system’s judgment to fit with the gap of 1 LED (18 mm) from the user’s expectations. The rotation-sensitive features proved to be informative, and a single sensor placed on the inside of the wrist achieved a performance level on par (F-measure 0.681) with the performance when all (10) sensors are used.