Low Sampling Rate IMU-based Pedestrian Trajectory System
碩士 === 國立交通大學 === 資訊學院資訊學程 === 101 === Prolonging battery lifetime of mobile devices is a hot study in recent years. According to experiment measurement, it can reduce power consumption of mobile devices by lowering the sampling rate of Inertial Measurement Unit (IMU). This thesis proposes a “Low Sa...
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| Format: | Others |
| Language: | en_US |
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2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/56494132217877197130 |
| Summary: | 碩士 === 國立交通大學 === 資訊學院資訊學程 === 101 === Prolonging battery lifetime of mobile devices is a hot study in recent years. According to experiment measurement, it can reduce power consumption of mobile devices by lowering the sampling rate of Inertial Measurement Unit (IMU). This thesis proposes a “Low Sampling Rate IMU-based Pedestrian Trajectory System (LSR-PTS)” which extracts waveform features of vertical acceleration to come out the upper and lower bound parameters of stride waveform by statistical experiment result. By using voting-based algorithm to verify stride waveform to get stride count. A quadratic regression analysis equation of stride length is used to predict the stride length. Finally, the walking direction is calculated by digital compass of smart phones.
We proposed LSR-PTS which uses features-based extraction method to keep similar positioning accuracy and reduce power consumption by lowering sampling rate of IMU. According to experiments, IMU with 10Hz sampling rate can reduce 55% power consumption than IMU with 40Hz sampling rate. Therefore, this system is suitable to develop the high-precision personal navigation system with power constraint on mobile devices.
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