报告人: Hamido Fujita

工作单位: Iwate Prefectural University

报告时间:5月17日下午3点

报告地点:数学院一楼报告厅

报告摘要:

Discovering patterns from big data attracts a lot of attention due to its importance in discovering accurate patterns and features that are used in predictions for accurate biomedical information for better security. Biometrics provides a suitable robust authenticated identification based on feature extraction for verifiable data. Physiological Analytics are either morphological or biological. Finger prints, hand or face shapes, facial analysis, vein pattern, iris and retinal feature in the eyes, walking steps patterns, are all different pattern morphological biometrics for authentication purposes used in pattern recognition, Behavioral analytics is also another type of biometrics based authentication, like voice recognition, signature dynamics, keystrokes, gait, sound of steps and gestures, etc., and all these are used to measure individual behaviors and rhythm, for example stress or other type of behavior related to aggressive act in bank or in crowd. All these different types of biometrics have different reliability for variety of purpose. This talk provide new direction on the state of art on Physiological Analytics (PA) to extract patterns (features) from faces based data, or fingerprint data based analytics to extract features related in face or palm veins or geometry in the hands, or iris recognition, and retina. In this talk I will focus on face recognition and fingerprints analytics, and its current state of art.

报告人简介:

Hamido Fujita, 日本岩手县立大学教授、博士生导师、智能系统研究所所长。研究领域包括人工智能、生物医学数据统计分析、专家系统和智能决策等领域，主持多个科研项目，包括智能HCI（一个与精神克隆相关的项目）、人类用户和计算机之间的智能用户界面设计，以及医疗应用虚拟医生系统等，获得四项国际发明专利。他是国际权威期刊《Knowledge-Based Systems》的主编、 国际期刊《Applied Intelligence》的共同主编，国际应用智能协会（ISAI）副主席，被聘请为瑞典斯德哥尔摩大学、澳大利亚悉尼科技大学等学校的兼职教授，并在法国巴黎第一大学、澳大利亚悉尼科技大学、加拿大拉维尔大学和意大利热那亚大学联合指导博士研究生。