با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
دسته بندی:
سیستم های خبره - expert systems
سال انتشار:
2019
عنوان انگلیسی مقاله:
A mobile application to report and detect 3D body emotional poses
ترجمه فارسی عنوان مقاله:
یک برنامه کاربردی تلفن همراه برای گزارش و کشف نکات سه بعدی عاطفی بدن
منبع:
Sciencedirect - Elsevier - Expert Systems With Applications, 122 (2019) 207-216: doi:10:1016/j:eswa:2019:01:021
نویسنده:
Iván García-Magariño a , c , ∗, Eva Cerezo b , Inmaculada Plaza d , c , Luca Chittaro e
چکیده انگلیسی:
Most research into automatic emotion recognition is focused on facial expressions or physiological signals, while the exploitation of body postures has scarcely been explored, although they can be useful for emo- tion detection. This paper first explores a mechanism for self-reporting body postures with a novel easy- to-use mobile application called EmoPose. The app detects emotional states from self-reported poses, classifying them into the six basic emotions proposed by Ekman and a neutral state. The poses identi- fied by Schindler et al. have been used as a reference and the nearest neighbor algorithm used for the classification of poses. Finally, the accuracy in detecting emotions has been assessed by means of poses reported by a sample of users.
Keywords: Affective com puting | App | Emotion detection | Mobile application | Pose detection | Expert system
قیمت: رایگان
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