Human activities recognition using smart devices
Today’s sensory world is all about privacy and minimal intrusion. The application of Machine Learning for Human Activities Recognition by collecting data through smart devices fits the requirements. The aim was to determine the best accuracy that can be achieved using support vector machines and als...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2016
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| Online Access: | http://hdl.handle.net/10356/68064 |