MARC View

000			02945nmm a2200301 a 4500
001			vtls000100030
003			KUKTEM
005			20251117113340.0
008			170504t2017 my mr1 fq d 0 0eng d
020			_aTHE0005139(Local)
039		9	_a201905131613 _bhanafiah _c201712261101 _dnazri _c201705041513 _dzul _y201705041251 _zzul
040			_aUMP
090			_aFKEE .S53 2016 r Bc
090			_aCD 10718
100	0		_aShahnaz Sakinah Shaiful Bahri
245	1	0	_aStress detection using galvanic skin response / _cShahnaz Sakinah binti Shaiful Bahri
260			_aKuantan, Pahang : _bUMP, _c2016
300			_a1 computer disc : _bdigital data ; _c12 cm.
500			_aFaculty of Electrical and Electronics Engineering
502			_aProject Paper (Bachelors of Electrical Engineering (Electronics)) -- University Malaysia Pahang – 2016
520	3		_aGalvanic Skin Response (GSR) is a method of measuring electrical conductance of the skin. Strong emotion cause stimulus to sympathetic nervous system, resulting more sweat being secreted by the sweat glands. From the data collected, we will have to analyse the data and graph to know at what point is the subject in stress or not stress. Different subject, different level of stress state depends on their physical and mental balance. Some subjects have strong emotion not only while they are stress, but also when they are very happy, very sad and also nervous. This is also triggered as strong emotion that the GSR sensor will detect any changes of emotion. We also have to see what type of activities that the subject are doing or undergo during the data is recorded. By placing the GSR at any two fingers on one hand, the GSR will start to detect any sweats or strong emotions of the subject. It will run the serial monitor after the Arduino coding is uploaded. The data will be displayed and analysed according to the activities that have been done. The data collected will be transferred to Matlab for further analysis. The graph is plotted from the Matlab for each subject out of 15 subjects. But only 9 subjects is counted. The results and graph are differ for every subjects although they went through the same activities. Every subjects does not have the same physical and mental state before, during and after the activities. Besides that, the amount of sweats secreted by each subject’s body (sweat glands) and their emotion will also affect the data, results and graph. As we observed the subjects and the activities they were undergo, we knew how their emotion at that state was.
538			_aItem in pdf format
610	2	0	_aFaculty of Electrical and Electronics Engineering _xDissertations
650		0	_aUniversities and Colleges _xDissertations
650		0	_aTheses
856	4	0	_uhttp://ecollib.ump.edu.my/id/eprint/25828 _zAccess in library only
999			_aVIRTUA40 _c7174 _d7180
999			_aVTLSSORT00800200040009000901100024502600300050005020520053806100650065018560*9992