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WeAllWalk: An Annotated Dataset of Inertial Sensor Time Series from Blind Walkers

机译:WeAllWalk:盲人步行者惯性传感器时间序列的带注释数据集

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We introduce WeAllWalk, a dataset of inertial sensor time series collected from blind and sighted walkers using a long cane or a guide dog. Ten blind volunteers (seven using a long cane, one using a guide dog, and two alternating use of a long cane and of a guide dog) as well as five sighted volunteers contributed to the data collection. The participants walked through fairly long and complex indoor routes that included obstacles to be avoided and doors to be opened. Inertial data were recorded by two iPhone 6s carried by our participants in their pockets and carefully annotated. Ground-truth heel strike times were measured by two small inertial sensor units clipped to the participants' shoes. We also present an in-depth comparative analysis of various step counting and turn detection algorithms as tested on WeAllWalk. This analysis reveals interesting differences between the achievable accuracy of step and turn detection across different communities of sighted and blind walkers.
机译:我们介绍了WeAllWalk,这是一个惯性传感器时间序列的数据集,该数据集是使用长拐杖或导盲犬从盲人和有视力的步行者那里收集的。十名盲人志愿者(七名使用长拐杖,一名使用导盲犬,两名交替使用长拐杖和导盲犬),以及五名失明的志愿者为数据收集做出了贡献。参与者走过相当长且复杂的室内路线,其中包括要避免的障碍和要打开的门。参与者通过口袋里的两把iPhone 6记录了惯性数据,并进行了仔细的注释。地面真实的脚跟撞击时间是通过两个固定在参与者鞋子上的小型惯性传感器单元测量的。我们还对在WeAllWalk上测试的各种步数计数和转弯检测算法进行了深入的比较分析。该分析揭示了在有视力和盲人步行者的不同社区中,步距和转弯检测可达到的精度之间的有趣差异。

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