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首页> 外文会议>Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International >How much information could be revealed by analyzing data from pressure sensors attached to shoe insole?
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How much information could be revealed by analyzing data from pressure sensors attached to shoe insole?

机译：通过分析来自鞋垫上的压力传感器的数据，可以揭示多少信息？

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Data collected from pressure sensors attached to shoe insole is a rich source of information. (1) We can detect faults in walking and balancing problems for old people. (2) The pressure sensor data can be used to design personalized foot orthoses. (3) We can calculate the calorie burnt, even when walking and jogging are mixed, and the road slope changes. (4) We can use the data to train sprinters or tennis players. (5) We can even use the data for person identification. In addition, it can be used for alarms for situations arising from mis-handling of machines, like accelerator pedal in a car. We attached very thin pressure sensors on top of a shoe insole and collected data. A few important and readily detectable features from the time series data collected by those sensors are extracted and used for person identification, or to classify whether a person is walking or jogging. Nearly 100% classification accuracy was achieved. Thus, the target to classify whether the person is walking or jogging or climbing up or down the stairs is possible. This success also encouraged us to investigate whether it is possible to find the body weight and the step-length from this data. Once that is possible, the system can accurately deliver the calorie burnt at the end of the day. We will further explore the possibility, using sophisticated feature extraction and classification techniques, to detect faults in walking and predict the probability of fall for elderly people, or people with problem in balancing due to various diseases or caused by accidents.
机译：从连接到鞋垫的压力传感器收集的数据是丰富的信息来源。 （1）我们可以发现老年人行走和平衡问题中的故障。 （2）压力传感器数据可用于设计个性化的足部矫形器。 （3）即使步行和慢跑混合在一起，并且道路坡度发生变化，我们也可以计算消耗的卡路里。 （4）我们可以使用数据来训练短跑运动员或网球运动员。 （5）我们甚至可以使用这些数据进行人员识别。此外，它还可以用于警告由于机器操作不当而引起的情况，例如汽车中的加速踏板。我们在鞋垫的顶部安装了非常薄的压力传感器，并收集了数据。从这些传感器收集的时间序列数据中提取一些重要且易于检测的特征，并将其用于人员识别，或对人员正在行走还是在跑步进行分类。达到了近100％的分类精度。因此，可以对人是否在步行，慢跑，爬楼梯还是爬楼梯进行分类的目标。这一成功也鼓励我们研究是否有可能从该数据中找到体重和步长。如果有可能，该系统可以在一天结束时准确地传递燃烧的卡路里。我们将使用复杂的特征提取和分类技术进一步探索这种可能性，以检测步行中的错误并预测老年人或因各种疾病或事故造成的平衡问题的人跌倒的可能性。

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