BRAIN Journal - Measuring Customer Behavior with Deep Convolutional Neural Networks
| Main Author: | Veaceslav Albu |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2016
|
| Subjects: | |
| Online Access: |
https://www.edusoft.ro/brain/index.php/brain/article/view/576/624 |
Daftar Isi:
- ABSTRACT In this paper we propose a neural network model for human emotion and gesture classification. We demonstrate that the proposed architecture represents an effective tool for realtime processing of customer's behavior for distributed on-land systems, such as information kiosks, automated cashiers and ATMs. The proposed approach combines most recent biometric techniques with the neural network approach for real-time emotion and behavioral analysis. In the series of experiments, emotions of human subjects were recorded, recognized, and analyzed to give statistical feedback of the overall emotions of a number of targets within a certain time frame. The result of the study allows automatic tracking of user’s behavior based on a limited set of observations.