| 000 | 04784nam a2201225Ia 4500 | ||
|---|---|---|---|
| 000 | 02578ntm a2200193 i 4500 | ||
| 001 | 90913 | ||
| 003 | 0 | ||
| 005 | 20250920163811.0 | ||
| 008 | 240822n 000 0 eng d | ||
| 010 |
_z _z _o _a _b |
||
| 015 |
_22 _a |
||
| 016 |
_2 _2 _a _z |
||
| 020 |
_e _e _a _b _z _c _q _x |
||
| 022 |
_y _y _l _a2 |
||
| 024 |
_2 _2 _d _c _a _q |
||
| 028 |
_a _a _b |
||
| 029 |
_a _a _b |
||
| 032 |
_a _a _b |
||
| 035 |
_a _a _b _z _c _q |
||
| 037 |
_n _n _c _a _b |
||
| 040 |
_e _erda _a _d _b _c |
||
| 041 |
_e _e _a _b _g _h _r |
||
| 043 |
_a _a _b |
||
| 045 |
_b _b _a |
||
| 050 |
_a _a _d _b2 _c0 |
||
| 051 |
_c _c _a _b |
||
| 055 |
_a _a _b |
||
| 060 |
_a _a _b |
||
| 070 |
_a _a _b |
||
| 072 |
_2 _2 _d _a _x |
||
| 082 |
_a _a _d _b2 _c |
||
| 084 |
_2 _2 _a |
||
| 086 |
_2 _2 _a |
||
| 090 |
_a _a _m _b _q |
||
| 092 |
_f _f _a _b |
||
| 096 |
_a _a _b |
||
| 097 |
_a _a _b |
||
| 100 |
_e _e _aHannah Yshel A. Dela Cruz, Aaron Joshua M. Lozano, Aubrey Rose B. Marabi, Emmanuel L. Vivero. _d _b4 _u _c0 _q16 |
||
| 110 |
_e _e _a _d _b _n _c _k |
||
| 111 |
_a _a _d _b _n _c |
||
| 130 |
_s _s _a _p _f _l _k |
||
| 210 |
_a _a _b |
||
| 222 |
_a _a _b |
||
| 240 |
_s _s _a _m _g _n _f _l _o _p _k |
||
| 245 | 0 |
_a _aA Convolutional neural network based analysis of real time facial emotion detection using Raspberry PI. _d _b _n _c _h6 _p |
|
| 246 |
_a _a _b _n _i _f6 _p |
||
| 249 |
_i _i _a |
||
| 250 |
_6 _6 _a _b |
||
| 260 |
_e _e _a _b _f _c _g |
||
| 264 |
_3 _3 _a _d _b _c4544446 |
||
| 300 |
_e _e _c _a _b |
||
| 310 |
_a _a _b |
||
| 321 |
_a _a _b |
||
| 336 |
_b _atext _2rdacontent |
||
| 337 |
_3 _30 _b _aunmediated _2rdamedia |
||
| 338 |
_3 _30 _b _avolume _2rdacarrier |
||
| 340 |
_2 _20 _g _n |
||
| 344 |
_2 _2 _a0 _b |
||
| 347 |
_2 _2 _a0 |
||
| 362 |
_a _a _b |
||
| 385 |
_m _m _a2 |
||
| 410 |
_t _t _b _a _v |
||
| 440 |
_p _p _a _x _v |
||
| 490 |
_a _a _x _v |
||
| 500 |
_a _aUndergraduate Thesis : { Bachelor of Science in Electronics Engineering) - Pamantasan ng Lungsod ng Maynila, 2024. _d _b _c56 |
||
| 504 |
_a _a _x |
||
| 505 |
_a _a _b _t _g _r |
||
| 506 |
_a _a5 |
||
| 510 |
_a _a _x |
||
| 520 |
_b _b _c _aABSTRACT: Non-verbal behaviors are one of the key factors that determine a person's mental well-being. These behaviors are divided into several characterisitcs, such as body language, gestures, paralinguistics, and facial expressions. Facial expression is one of the most common traits observed in an assessment, as it is responsible for a huge portion of non-verbal communication. This study aims to develop a system that will identify the six basic emotions, namely Joy, Sadness, Anger, Fear, Surprise, Disgust, and Neutral in real-time utilizing a Convolutional Neural Network (CNN) using Rasberry Pi to perform image processing and emotion recognition. The device was built with a module capable of recognizing facial features and landmarks using Python libraries such as PyCharm and OpenCV as part of the image processing. This enabled the device to perform face detection, image preprocessing, and feature extraction to distinguish the emotions shown in the facial expressions of the individual. The emotion recognition software was able to detect seven emotional states in real time: joy, sadness, anger, fear, disgust, surprise, and neutral. The device was also capable of recording the session saved in the Rasberry Pi 4 storage, and generating a report through an emotion log in a TXT format, showing the detected emotions throughout the session, and a radar char in a PNG format, providing the frequency of the emotions detected. The facial emotion detection system that was developed was proven to perform effectively with the help of Keras API. The metrics obtained were an Accuracy of 71.67%. Precision of 77.5%, Recall of 94.2%, and F1-Score of 82.95%. The system was able to detect and predict the correct emotion, especially positive instances. _u |
||
| 521 |
_a _a _b |
||
| 533 |
_e _e _a _d _b _n _c |
||
| 540 |
_c _c _a5 |
||
| 542 |
_g _g _f |
||
| 546 |
_a _a _b |
||
| 583 |
_5 _5 _k _c _a _b |
||
| 590 |
_a _a _b |
||
| 600 |
_b _b _v _t _c2 _q _a _x0 _z _d _y |
||
| 610 |
_b _b _v _t2 _x _a _k0 _p _z _d6 _y |
||
| 611 |
_a _a _d _n2 _c0 _v |
||
| 630 |
_x _x _a _d _p20 _v |
||
| 648 |
_2 _2 _a |
||
| 650 |
_x _x _a _d _b _z _y20 _v |
||
| 651 |
_x _x _a _y20 _v _z |
||
| 655 |
_0 _0 _a _y2 _z |
||
| 700 |
_i _i _t _c _b _s1 _q _f _k40 _p _d _e _a _l _n6 |
||
| 710 |
_b _b _t _c _e _f _k40 _p _d5 _l _n6 _a |
||
| 711 |
_a _a _d _b _n _t _c |
||
| 730 |
_s _s _a _d _n _p _f _l _k |
||
| 740 |
_e _e _a _d _b _n _c6 |
||
| 753 |
_c _c _a |
||
| 767 |
_t _t _w |
||
| 770 |
_t _t _w _x |
||
| 773 |
_a _a _d _g _m _t _b _v _i _p |
||
| 775 |
_t _t _w _x |
||
| 776 |
_s _s _a _d _b _z _i _t _x _h _c _w |
||
| 780 |
_x _x _a _g _t _w |
||
| 785 |
_t _t _w _a _x |
||
| 787 |
_x _x _d _g _i _t _w |
||
| 800 |
_a _a _d _l _f _t0 _q _v |
||
| 810 |
_a _a _b _f _t _q _v |
||
| 830 |
_x _x _a _p _n _l0 _v |
||
| 942 |
_a _alcc _cBK |
||
| 999 |
_c9957 _d9957 |
||