Motion Recognition of Smartphone using Sensor Data
نویسندگان
چکیده
منابع مشابه
pattern recognition in maintenance data using methodologies data minitng (cade study isfahan regional power electric company)
فعالیت های نگهداری و تعمیرات اطلاعاتی را تولید می کند که می تواند در تعیین زمان های بیکاری و ارایه یک برنامه زمان بندی شده یا تعیین هشدارهای خرابی به پرسنل نگهداری و تعمیرات کمک کند. وقتی که مقدار داده های تولید شده زیاد باشند، فهم بین متغیرها بسیار مشکل می شوند. این پایان نامه به کاربردی از داده کاوی برای کاوش پایگاه های داده چندبعدی در حوزه نگهداری و تعمیرات، برای پیدا کردن خرابی هایی که موجب...
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The recognition of locomotion activities (e.g., walking, running, still) is important for a wide range of applications like indoor positioning, navigation, location-based services, and health monitoring. Recently, there has been a growing interest in activity recognition using accelerometer data. However, when utilizing only acceleration-based features, it is difficult to differentiate varying ...
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Activity Recognition based on the sensors available on a smartphone is becoming a widely researched area. Smartphones are capable of collecting vital data from the sensors. These sensors include acceleration sensors, position sensors, vision sensors, audio sensors, temperature sensors and direction sensors. In this paper we propose a filter based sensor fusion system that uses smartphones accel...
متن کاملThe Benefits of Personalized Data Mining Approaches to Human Activity Recognition with Smartphone Sensor Data
Acknowledgments I would like to express my sincerest gratitude to Dr. Gary Weiss, my thesis advisor. His guidance and support on this research and all of my scholarly endeavors over the last five years have been invaluable and formative. This work was also made possible by the community and resources he fosters in the Wireless Sensor Data Mining Lab. I want to express my thanks also to Dr. Dami...
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ژورنال
عنوان ژورنال: Journal of Korea Multimedia Society
سال: 2014
ISSN: 1229-7771
DOI: 10.9717/kmms.2014.17.12.1437