{"title":"Recognition of walking behaviors for pedestrian navigation","authors":"Seon-Woo Lee, K. Mase","doi":"10.1109/CCA.2001.974027","DOIUrl":null,"url":null,"abstract":"This paper presents a method for detecting and classifying walking behaviors based on acceleration measurements of a pedestrian, and is employed in an indoor navigation system currently being developed. The prototype navigation system uses a set of inexpensive and wearable sensors: a bi-axial accelerometer, a digital compass, and an infrared light detector. Using the measured acceleration data, the proposed method can detect forward steps and classify the steps as: \"level ground\", \"up\", and \"down\". The objective of the detection is to count steps for estimating the current position by dead-reckoning using heading measurements. The capability in detecting \"up/down\" steps can be used to correct estimated position errors. The effectiveness of the proposed method is demonstrated by experiments on six persons.","PeriodicalId":365390,"journal":{"name":"Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"68","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCA.2001.974027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 68
Abstract
This paper presents a method for detecting and classifying walking behaviors based on acceleration measurements of a pedestrian, and is employed in an indoor navigation system currently being developed. The prototype navigation system uses a set of inexpensive and wearable sensors: a bi-axial accelerometer, a digital compass, and an infrared light detector. Using the measured acceleration data, the proposed method can detect forward steps and classify the steps as: "level ground", "up", and "down". The objective of the detection is to count steps for estimating the current position by dead-reckoning using heading measurements. The capability in detecting "up/down" steps can be used to correct estimated position errors. The effectiveness of the proposed method is demonstrated by experiments on six persons.
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