Human Activity Recognition using Dynamic Time Warping

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dc.contributor.author Hasan, G. M. Mukit
dc.contributor.author Iftekhar, Kazi MD
dc.date.accessioned 2021-09-16T04:53:47Z
dc.date.available 2021-09-16T04:53:47Z
dc.date.issued 2014-11-15
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dc.identifier.uri http://hdl.handle.net/123456789/998
dc.description Supervised by Hasan Mahmud, Assistant Professor, Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh. en_US
dc.description.abstract Human activity recognition is now a well-known field of Human Computer Interaction (HCI) because its capability of providing personalized support using different applications. The recognition of human activities has become a task of high interest within the field, especially for medical, military, and security applications. Its applications include surveillance systems, patient monitoring systems, and a variety of systems that involve interactions between persons and electronic devices such as human-computer interfaces. In our work we will try to recognize human activity using wearable sensors. The works done before had the problem of using multimodal system with satisfactory results. Computation of the inputs to recognize activities are not simple. So, we designed a multi-modal system that will take accelerometer, gyroscope and ultrasonic sensor’s data as input and use optimized Dynamic Time Warping algorithm to classify data to recognize activity with satisfactory success rate. en_US
dc.language.iso en en_US
dc.publisher Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh en_US
dc.subject DTW, Accelerometer, Gyroscope, Ultrasonic, Activity, Recognition en_US
dc.title Human Activity Recognition using Dynamic Time Warping en_US
dc.type Thesis en_US


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