Développement d’un système de vérification de la prière à base de deep learning

Abstract

­ Ab ¤ ¨¡¤ , ­ Ab` 􀀀 ¨ ¢l 􀀀 ¢ r § A ¤ Ah ± Ty A T Ak ­®O 􀀀 ®F³􀀀 ` dq As ³􀀀 ­r 􀀀Ð Yl r ¥ ¨t 􀀀 􀀀w` 􀀀 d§d` 􀀀 An¡ F° . lsm 􀀀 Ahyl FA § Yl AblF r ¥§ 􀀀@¡ Amm.( wn 􀀀 Tl ¤ Ah ³A, T w yK 􀀀 ,ry A¡z 􀀀 : ) Ysn§ ¢l` ¤ Aynq d ts§ ¨ Ð A\ 􀀀rt A wmth , m` 􀀀 􀀀@¡ ¨ .­®Ol y O 􀀀 º􀀀 ±􀀀 􀀀r tF􀀀 A\n 􀀀 l`t§ § .­®O 􀀀 sls T } q tl ¨ AnW}¯􀀀 ºA @ 􀀀 􀀀d tFA Ð yq t§ .¨l`f 􀀀 w 􀀀 ¨ Tmhm 􀀀 º􀀀 Tysy¶r 􀀀 AR¤±􀀀 y A§dy 􀀀d tFA Ahyl wO 􀀀 ¨t 􀀀 Tysy¶r 􀀀 ªAqn 􀀀 􀀀zym 􀀀 AfWtq ¨ , ¨ µ􀀀 d 􀀀 A`J , Ty¶􀀀wK T A 􀀀) nO 􀀀d tFA T r tsm 􀀀 A Ayb 􀀀 T A` .( 16 Ty¶rm 􀀀 TFdnh 􀀀 T wm m, CA r ­®O 􀀀 Ay`Rw sls Yl ©wt Ty` r Tm¶A 􀀀d tFA ¶Atn 􀀀 q t 􀀀 ¾ry ¤ Yl Anys º􀀀r kmm 􀀀 k ¤ , T§A l T` K Ahyl wO 􀀀 ¨t 􀀀 ¶Atn 􀀀 .Islam has given prayer a high status because it is the first thing God has commanded in matters of worship, and it is the first worship for which a Muslim is held accountable. Unfortunately, there are many factors that affect human memory and make it forget(Ex: Alzheimer’s, aging, stress and lack of sleep). This negatively affects the correct performance of the prayer. In this work, we are interested in proposing an intelligent system that uses AI techniques in order to verify the validity of the prayer sequence. The system must learn to extract key poses (tracking) in order to perform the task in real time. This is achieved by using posture Information extracted from features from key points obtained using mediapipe. Instead of general features of distances and angles, geometric moments of posture is used as features for pose classification and then processed the extracted data with a classifier(Random Forest, SVM, KNN, VGG16).Finally, we check the results with a reference prayer sequence. The obtained