Wireless and Mobile Sensing problems in IoT: Sports, Drones, and Material Sensing

Friday, November 13, 2020 - 2:20pm to 3:10pm

We have another exciting talk this week as part of the CSCE 791, and I invite you to join the talks. Please encourage your students to join as well via the link below:

https://us.bbcollab.com/guest/e51c76fda53042b790ea62ff2d7b2895

Friday, 11/13/2020, from 2:20 pm to 3:10 pm EDT, we have a talk from Mahanth Gowda, Assistant Professor, Pennsylvania State University.

Title: Wireless and Mobile Sensing problems in IoT: Sports, Drones, and Material Sensing

Abstract: Motion tracking and RF sensing is a broad area with classical problems that dates back many decades. While significant advances have come from the areas of robotics, control systems, and signal processing, the emergence of mobile and IoT devices is ushering a new age of embedded, human-centric applications. Fitbit is a simple example that has rapidly mobilized proactive healthcare; medical rehabilitation centers are utilizing wearable devices towards injury diagnosis and prediction. In this talk, I will discuss a variety of (new and old) IoT applications that present unique challenges at the intersection of mobility, multi-modal sensing, and indirect inference. For instance, I will discuss how inertial sensors embedded in balls, racquets, and shoes can be harnessed to deliver real-time sports analytics on your phone. In a separate application, I will show how GPS signals can be utilized to track the 3D orientation of an aggressively flying drone, ultimately delivering the much needed reliability against crashes. Finally, I will discuss sensing liquid materials by passing WiFi-like signals through containers holding liquids. In general, I hope to show that information fusion across wireless signals, sensors, and physical models can together deliver motion-related insights, useful to a range of applications in IoT, healthcare, and cyber physical systems.

Bio: Mahanth Gowda is an Assistant Professor in Computer Science and Engineering at Penn State. His research interests include wireless networking, mobile sensing, and wearable computing, with applications to IoT, cyber physical systems, and human gesture recognition. He has published across diverse research forums, including NSDI, MobiCom, WWW, Infocom, Hotnets, ASPLOS, etc.

http://www.cse.psu.edu/~mkg31/

I hope to see you all on Friday at Blackboard Collaborate.