Classification of the agitation level based on facial variation for icu patients in hospital /
There is a lack of commercial technologies under the generic topic of monitoring a patient in Intensive Care Unit (ICU). This answers too many of the misjudged problems. In this research, one approach to Human Computer Interface (HCI) for monitoring patient is presented. In this dissertation, the de...
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| Format: | Thesis Book |
| Language: | English |
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Perlis, Malaysia
School of Mechatronic Engineering, Universiti Malaysia Perlis
2011
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| 100 | 0 | |a Muhammad Naufal Mansor,, |e author | |
| 245 | 1 | 0 | |a Classification of the agitation level based on facial variation for icu patients in hospital / |c Muhammad Bin Naufal Mansor |
| 264 | 1 | |a Perlis, Malaysia |b School of Mechatronic Engineering, Universiti Malaysia Perlis |c 2011 | |
| 300 | |a xiii, 95 pages |b colour illustrations |c 30 cm. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a unmediated |b n |2 rdamedia | ||
| 338 | |a volume |b nc |2 rdacarrier | ||
| 502 | |a Thesis (Master of Science) -- Universiti Malaysia Perlis. School of Mechatronic Engineering, 2011. | ||
| 504 | |a Includes bibliographical references. | ||
| 520 | |a There is a lack of commercial technologies under the generic topic of monitoring a patient in Intensive Care Unit (ICU). This answers too many of the misjudged problems. In this research, one approach to Human Computer Interface (HCI) for monitoring patient is presented. In this dissertation, the design and development of intelligent monitoring system for facial expression analysis of patients in ICU is proudly presented. The ICU patients can be in coma or the patients may be under sedation due to surgery. The facial movements need to be monitored by the nurses at selected intervals and reported to doctors for possible further treatments. Detection of facial changes is very crucial for further treatment. In this research, our study only limit on the eyes and mouth motions. A study is also made on varied illumination levels on the face of patient. The purposed monitoring scheme is to be robust within selected levels of illumination on the face of patient. | ||
| 541 | |a Gift from Centre for Graduate Studies (Master of Science) |b 2018 | ||
| 650 | 0 | |a Human face recognition (Computer science) | |
| 650 | 0 | |a Pattern recognition systems | |
| 650 | 0 | |a Computer vision | |
| 650 | 0 | |a Graphical user interfaces (Computer systems) | |
| 710 | 2 | |a Universiti Malaysia Perlis | |
| 720 | 1 | |a Prof. Dr. Sazali Yaacob, |e supervisor | |
| 790 | 1 | |a School of Mechatronic Engineering | |
| 791 | 1 | |a Universiti Malaysia Perlis | |
| 792 | 1 | |a 2011 | |
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