An IoT System for Long-Term Care of People with Special Needs

ECE Seminar: An IoT System for Long-Term Care of People with Special Needs


Starts at: November 19, 2015 4:30 PM

Ends at: 6:00 PM

Location: Scaife 125

Speaker: Dr. Marilyn Wolf

Affiliation: Georgia Institute of Technology

Refreshments provided: Yes

Link to Poster

Link to Video (1)

Details:

Abstract:
The term Internet-of-Things (IoT) is widely used but infrequently defined. While several use cases can be seen as fitting the IoT label, we believe that soft real-time, event-driven distributed computing is an important category of IoT system that introduces challenging research problems. Such systems use sensors to gather data; data can be processed either locally or remotely. Many of these systems also include some aspect of actuation.
We motivate this work with a description of our efforts to build a caring analytics system to help care for people with special needs. We are developing an IoT caring analytics system that we will permanently install in a smart home for people with special needs operated by a Medicaid service provider. The term “special needs” covers a wide range of cognitive and physical limitations. With a growing worldwide population of people with special needs, we need to find new ways to give these people meaningful lives. Because the special needs population covers such a wide range of conditions, the traditional, diagnosis-driven medical approach will not scale, requiring new approaches.
This talk will give a model for IoT event-driven systems that can be used to analyze the performance of the system and to design IoT platforms. Unlike networked control systems, the events in IoT systems can have widely varying lifetimes. The event population can have widely varying characteristics, with some events being scheduled for immediate action with other events scheduled for action hours or days in the future. The much more general nature of event populations introduces some new modeling and design challenges. We will also describe our tracking algorithm used to analyze activity in the residence.

Bio:
Marilyn Wolf is Farmer Distinguished Chair and Georgia Research Alliance Eminient Scholar at the Georgia Institute of Technology.
She received her BS, MS, and PhD in electrical engineering from Stanford University in 1980, 1981, and 1984, respectively. She was with AT&T Bell Laboratories from 1984 to 1989. She was on the faculty of Princeton University from 1989 to 2007.
Her research interests included embedded computing, embedded video and computer vision, and VLSI systems.
She has received the ASEE Terman Award and IEEE Circuits and Systems Society Education Award. She is a Fellow of the IEEE and ACM and an IEEE Computer Society Golden Core member.