Activity recognition using smart phone acceleroeter with naive Bayes classifier for emergency cases /
Activity is one of the main components of context-aware study besides time, location and identity. Accurate recognition of user activity allows a device or application to deliver more accurate response to the user based on what it is designed for. Accelerometer has become one of the commonly used se...
Saved in:
Main Author: | Siti Aisyah binti Ismail |
---|---|
Format: | Thesis |
Language: | English |
Published: |
Gombak, Selangor :
Kulliyyah of Information and Communication Technology, International Islamic University Malaysia,
2016
|
Subjects: | |
Online Access: | Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
FPGA implementation of naive bayes classifier for network security
by: Mohamad Zuki, Ahmad Zulzhafri
Published: (2018) -
Hardware implementation of naive bayes classifier for malware detection
by: Al Hussein, Yahya Khaled
Published: (2021) -
Human activity recognition for video surveillance using neural network /
by: Karm Allah, Mohanad Babiker Mohamed Osman
Published: (2017) -
Hybrid artificial neural network-naive bayes classifier for solving imbalanced dataset problems
by: Adam, Asrul
Published: (2012) -
N-gram feature extraction and Naïve Bayes classifier for malware detection using FPGA implementation
by: Lee, Ming Yi
Published: (2022)