Detecting panic attacks from kinect recordings
Panic attack is a form of anxiety and it can happen to anybody at any time. Hence, it is important to detect it at the fastest possible time to prevent unwanted consequences. In this project, Kinect were used to record 10 subjects acting out the 4 scenarios: namely normal, heart, panic and seizure....
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sg-ntu-dr.10356-637942023-07-07T17:52:09Z Detecting panic attacks from kinect recordings Tan, Yong Qiang Justin Dauwels School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Panic attack is a form of anxiety and it can happen to anybody at any time. Hence, it is important to detect it at the fastest possible time to prevent unwanted consequences. In this project, Kinect were used to record 10 subjects acting out the 4 scenarios: namely normal, heart, panic and seizure. An algorithm based on C Sharp was then implemented for extraction of joint values into text files. They were then classified based on a training and test set. This was done on Weka. Anomalies were later explained based on the scatterplots using MATlab. Bachelor of Engineering 2015-05-19T03:25:51Z 2015-05-19T03:25:51Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/63794 en Nanyang Technological University 57 p. application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
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NTU Library |
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DR-NTU |
| language |
English |
| topic |
DRNTU::Engineering::Electrical and electronic engineering |
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DRNTU::Engineering::Electrical and electronic engineering Tan, Yong Qiang Detecting panic attacks from kinect recordings |
| description |
Panic attack is a form of anxiety and it can happen to anybody at any time. Hence, it is important to detect it at the fastest possible time to prevent unwanted consequences. In this project, Kinect were used to record 10 subjects acting out the 4 scenarios: namely normal, heart, panic and seizure. An algorithm based on C Sharp was then implemented for extraction of joint values into text files. They were then classified based on a training and test set. This was done on Weka. Anomalies were later explained based on the scatterplots using MATlab. |
| author2 |
Justin Dauwels |
| author_facet |
Justin Dauwels Tan, Yong Qiang |
| format |
Final Year Project |
| author |
Tan, Yong Qiang |
| author_sort |
Tan, Yong Qiang |
| title |
Detecting panic attacks from kinect recordings |
| title_short |
Detecting panic attacks from kinect recordings |
| title_full |
Detecting panic attacks from kinect recordings |
| title_fullStr |
Detecting panic attacks from kinect recordings |
| title_full_unstemmed |
Detecting panic attacks from kinect recordings |
| title_sort |
detecting panic attacks from kinect recordings |
| publishDate |
2015 |
| url |
http://hdl.handle.net/10356/63794 |
| _version_ |
1772827799795531776 |