Using LS-SVM Based Motion Recognition for Smartphone Indoor Wireless Positioning
نویسندگان
چکیده
منابع مشابه
Using LS-SVM Based Motion Recognition for Smartphone Indoor Wireless Positioning
The paper presents an indoor navigation solution by combining physical motion recognition with wireless positioning. Twenty-seven simple features are extracted from the built-in accelerometers and magnetometers in a smartphone. Eight common motion states used during indoor navigation are detected by a Least Square-Support Vector Machines (LS-SVM) classification algorithm, e.g., static, standing...
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ژورنال
عنوان ژورنال: Sensors
سال: 2012
ISSN: 1424-8220
DOI: 10.3390/s120506155