【通信与信息工程学院】Deep Learning Human Activity Recognition with Mobile Sensors
发布时间: 2017-06-14 浏览次数: 13 文章来源: 科技处

   Human activity recognition (HAR) is important in smart health and living. It can help collect data to give people suggestions on health living style, to assist doctors on illness diagnosis, as well as to identify dangerous situations, such as falling, in elder people care. Traditional HAR has been investigated with machine learning. As the rise of the deep learning in recent years, this work studies the performance of employing deep learning algorithms, particularly convolutional neural network (CNN), for HAR. With mobile sensors, the activity data of multiple people over multiple months have been collected and then analyzed with CNN. The evaluation shows that deep learning can achieve very accurate (>98%) recognition, and outperforms traditional HAR approaches.

时间:201761515:00

地点:三牌楼校区科研楼1406

报告人简介:

伍绍恩,美国鲍尔州立大学(Ball State University计算机系副教授(终身教职),智能计算与通讯实验室主任,IEEE高级会员。2008年博士毕业于美国奥本大学计算机系,2001年硕士毕业于电子科技大学,1998年本科毕业于青岛科技大学。伍教授曾经就职于贝尔实验室(青岛)担任高级软件工程师,美国ADTRAN公司研究科学家,美国南密西西比大学计算学院助理教授。他目前的研究兴趣和方向包括智能物联网,物理空间系统,无线通讯与网络。伍教授曾获IEEE ISCC 2008SCS ANSS 2011两次最佳论文奖。他担任国际学术会议SCS ANSS 2009-2010IEEE ICNC 2018技术委员会主席,ACM/EAI Mobimedia 2018主席,IEEE ICCCN 2016 Workshop主席,相关著名国际学术会议(例如IEEE Infocom, Globecom, ICC, ICCCN)技术委员。伍教授也长期担任多个著名学术期刊编委(例如IEEE Internet of Things Journal, IEEE MMTC E-Letter)和审稿人。他成功主持多项科研项目,累计科研经费超过1.5百万美元,包括两项美国国家自然科学基金项目和两项美国航空航天局项目。伍教授带领的团队已经培养博士2名,硕士10人,目前在读研究生8名。

  

    Prof. Shaoen Wu is an associate professor of computer science at Ball State University, and the director of the Intelligent Computing and Communication Systems (ICCS) research group. He is an IEEE senior member. He received a Ph.D. in computer science in 2008 from Auburn University. He has held an assistant professor position at Ball State University, an assistant professor position in the School of Computing at the University of Southern Mississippi, a researcher scientist position at ADTRAN Inc., and a senior software engineer position at Bell Laboratories. His current research is in the areas of intelligent internet of things, cyber-physical systems, and wireless and mobile networking. He has successfully performed more than $1.5 million research projects supported by federal agencies such as NSF and NASA, and industries such as Intel and Microsoft Corp. He is a recipient of Best Paper Awards at IEEE ISCC 2008 and ANSS 2011. He has served as Chair or Co-chair for SCS ANSS, EAI/ACM Mobimedia, IEEE ICNC, and ICCCN Workshop. He has been on the technical program committees for many international conferences such as IEEE Infocom, Globecom, ICC and ICCCN. Prof. Wu also serves on editorial boards of several international journals such as IEEE Internet of Things Journal and IEEE MMTC E-Letter. He has advised and graduated two PhD students and 10 master students, and is mentoring 8 graduate students currently.