计算机软件新技术国家重点实验室
李寅 博士
摘 要：
Advances in sensor miniaturization,
low-power computing, and battery life have enabled the first generation of
mainstream wearable devices. Millions of hours of data have been captured by
these devices, creating a record of our daily life at an unprecedented scale.
My research focus on the automatic analysis of wearable sensor data, with a
emphasis on videos captured from wearable cameras. My work advances both
computer vision and mobile health. My talk has three parts. First, I will
introduce first person visual cues that capture the users' intent and can be
used to predict their point of gaze and the actions they are performing during
activities of daily living. Second, I will describe a novel approach to measure
children's social behaviors during naturalistic face-to-face interactions with
an adult partner, who is wearing a camera. Finally, I will cover my work on
measuring physiological parameters such as heart rate and respiration rate
using wearable sensing.
报告人简介：
I am
an Assistant Professor in the Department of Biostatistics and Medical
Informatics and the Department of Computer Sciences at the University of
Wisconsin-Madison. Previously, I obtained my PhD from the Georgia Tech and was
a Postdoctoral Fellow at the Carnegie Mellon University. I have been serving as
area chairs (equivalent to senior program committee) for the top vision
conferences CVPR and ICCV. I am the co-recipient of the best student paper
awards at MobiHealth 2014 and IEEE Face and Gesture 2015. And
my work had been covered by MIT Tech Review, WIRED UK and New Scientist.
时间：5月9日 14:00-14:40
地点：计算机科学技术楼111室
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