Energy related activities recognition using smartphones
In this project, the recognition of the activation of energy devices or equipment by its user is in focus. The project aims to investigate the activation of laptop, washing machine and vacuum cleaner using their unique audio signatures. Audio features and machine learning algorithms will be discusse...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/158122 |
| _version_ | 1826118704002236416 |
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| author | Goh, Pei Xuan |
| author2 | Soh Yeng Chai |
| author_facet | Soh Yeng Chai Goh, Pei Xuan |
| author_sort | Goh, Pei Xuan |
| collection | NTU |
| description | In this project, the recognition of the activation of energy devices or equipment by its user is in focus. The project aims to investigate the activation of laptop, washing machine and vacuum cleaner using their unique audio signatures. Audio features and machine learning algorithms will be discussed in this report. Neural Network Algorithm will be used in this project to derive high-level information on the usage of activation energy devices by the user. Neural Network is widely used for single event recognition and will be modified and extended in this project to recognize mixed activities and events. |
| first_indexed | 2024-10-01T04:47:48Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/158122 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:47:48Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1581222023-07-07T19:34:05Z Energy related activities recognition using smartphones Goh, Pei Xuan Soh Yeng Chai School of Electrical and Electronic Engineering EYCSOH@ntu.edu.sg Engineering::Electrical and electronic engineering In this project, the recognition of the activation of energy devices or equipment by its user is in focus. The project aims to investigate the activation of laptop, washing machine and vacuum cleaner using their unique audio signatures. Audio features and machine learning algorithms will be discussed in this report. Neural Network Algorithm will be used in this project to derive high-level information on the usage of activation energy devices by the user. Neural Network is widely used for single event recognition and will be modified and extended in this project to recognize mixed activities and events. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-30T11:16:26Z 2022-05-30T11:16:26Z 2022 Final Year Project (FYP) Goh, P. X. (2022). Energy related activities recognition using smartphones. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158122 https://hdl.handle.net/10356/158122 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Goh, Pei Xuan Energy related activities recognition using smartphones |
| title | Energy related activities recognition using smartphones |
| title_full | Energy related activities recognition using smartphones |
| title_fullStr | Energy related activities recognition using smartphones |
| title_full_unstemmed | Energy related activities recognition using smartphones |
| title_short | Energy related activities recognition using smartphones |
| title_sort | energy related activities recognition using smartphones |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/158122 |
| work_keys_str_mv | AT gohpeixuan energyrelatedactivitiesrecognitionusingsmartphones |