design lab stroke-kinect nadir weibel

Team behind Stroke Kinect Receives Funding

Team behind Stroke Kinect Receives Funding

Team behind Stroke Kinect Receives Funding

As part of the Frontier of Innovation Scholars Program (CSE Publication), the Stroke-Kinect proposal led by Design Lab faculty Nadir Weibel and colleagues in the engineering department and the school of medicine, was awarded $50,000 towards two graduate student awards to fund this work. It was selected among over 400 high caliber proposals and will focus on a sensor based approach to multimodal stroke signature.

What is Stroke-Kinect?

Stroke-Kinect is a new approach to characterizing the severity of ischemic stroke. Stroke-Kinect exploits cutting-edge pervasive sensing technologies that unobtrusively capture body motion, eye tracking, and speech. The goal is to use multimodal sensing to understand the dynamics of human behavior and automatically assess clinical deficit scales more frequently and precisely than current human resources allow. This will remove the subjectivity of human analysis in characterizing ischemic stroke, allow a more accurate quantification of specific behavioral patterns in individuals who have undergone a stroke, and enable rapid observation-diagnosis feedback loops by informing clinicians of patient deficits in real-time. Our team will leverage experience and capabilities to collect and analyze multimodal data in the healthcare domain using pervasive sensing technology, multi-year experience in neural computation and bioengineering, and access to the UCSD Stroke Clinic and key expertise in neurology, stroke diagnosis, and stroke rehabilitation.

Who is the team?

Nadir Weibel, PhD, Research Assistant Professor, Computer Science and Engineering, Jacobs School of Engineering
Brett Meyer,  MD, Professor Neuroscience, School of Medicine
Gert Cauwenberghs, PhD, Professor Bioengineering, Jacobs School of Engineering
Vishwajith (Vish) Ramesh, Graduate Student (PhD), Bioengineering
Steven Rick, Graduate Student (PhD), Computer Science and Engineering

As part of the Frontier of Innovation Scholars Program (CSE Publication), the Stroke-Kinect proposal led by Design Lab faculty Nadir Weibel and colleagues in the engineering department and the school of medicine, was awarded $50,000 towards two graduate student awards to fund this work. It was selected among over 400 high caliber proposals and will focus on a sensor based approach to multimodal stroke signature.

What is Stroke-Kinect?

Stroke-Kinect is a new approach to characterizing the severity of ischemic stroke. Stroke-Kinect exploits cutting-edge pervasive sensing technologies that unobtrusively capture body motion, eye tracking, and speech. The goal is to use multimodal sensing to understand the dynamics of human behavior and automatically assess clinical deficit scales more frequently and precisely than current human resources allow. This will remove the subjectivity of human analysis in characterizing ischemic stroke, allow a more accurate quantification of specific behavioral patterns in individuals who have undergone a stroke, and enable rapid observation-diagnosis feedback loops by informing clinicians of patient deficits in real-time. Our team will leverage experience and capabilities to collect and analyze multimodal data in the healthcare domain using pervasive sensing technology, multi-year experience in neural computation and bioengineering, and access to the UCSD Stroke Clinic and key expertise in neurology, stroke diagnosis, and stroke rehabilitation.

Who is the team?

Nadir Weibel, PhD, Research Assistant Professor, Computer Science and Engineering, Jacobs School of Engineering
Brett Meyer,  MD, Professor Neuroscience, School of Medicine
Gert Cauwenberghs, PhD, Professor Bioengineering, Jacobs School of Engineering
Vishwajith (Vish) Ramesh, Graduate Student (PhD), Bioengineering
Steven Rick, Graduate Student (PhD), Computer Science and Engineering

As part of the Frontier of Innovation Scholars Program (CSE Publication), the Stroke-Kinect proposal led by Design Lab faculty Nadir Weibel and colleagues in the engineering department and the school of medicine, was awarded $50,000 towards two graduate student awards to fund this work. It was selected among over 400 high caliber proposals and will focus on a sensor based approach to multimodal stroke signature.

What is Stroke-Kinect?

Stroke-Kinect is a new approach to characterizing the severity of ischemic stroke. Stroke-Kinect exploits cutting-edge pervasive sensing technologies that unobtrusively capture body motion, eye tracking, and speech. The goal is to use multimodal sensing to understand the dynamics of human behavior and automatically assess clinical deficit scales more frequently and precisely than current human resources allow. This will remove the subjectivity of human analysis in characterizing ischemic stroke, allow a more accurate quantification of specific behavioral patterns in individuals who have undergone a stroke, and enable rapid observation-diagnosis feedback loops by informing clinicians of patient deficits in real-time. Our team will leverage experience and capabilities to collect and analyze multimodal data in the healthcare domain using pervasive sensing technology, multi-year experience in neural computation and bioengineering, and access to the UCSD Stroke Clinic and key expertise in neurology, stroke diagnosis, and stroke rehabilitation.

Who is the team?

Nadir Weibel, PhD, Research Assistant Professor, Computer Science and Engineering, Jacobs School of Engineering
Brett Meyer,  MD, Professor Neuroscience, School of Medicine
Gert Cauwenberghs, PhD, Professor Bioengineering, Jacobs School of Engineering
Vishwajith (Vish) Ramesh, Graduate Student (PhD), Bioengineering
Steven Rick, Graduate Student (PhD), Computer Science and Engineering

Read Next

Overcrowded Verganti Design

Don Norman: Overcrowded, by Roberto Verganti: In favor of criticism

I was just in Germany, in Herzogenaurach to be precise, at Adidas headquarters. (Hardly anyone knows where Herzogenaurach is — it’s a 20 minute taxi from Nuremberg.) I was at a conference organized by my old friend (and co-author) Roberto Verganti, from the business school at Politecnico di Milano. Years ago, he and I had a debate in Milan about the value of Human-Centered Design (HCD) and the way it is normally practiced. To the audience’s great surprise, we both agreed:

1. HCD is a powerful tool for improving existing products. That is, it is a powerful tool for incremental innovation.
2. HCD, by its very nature (hill-climbing plus a kind of design by committee), is a really bad tool for radical innovation.
Don Norman Zdnet Over Automating Uc San Diego

Software Developers and Designers Risk Over-Automating Enterprises

Don Norman of Cognitive Science and the Design Lab argues for human-technology teamwork among designers in…

Design Lab Uc San Diego Don Norman Creative Education

Rethinking Design Education

Don Norman, Design Lab Director

The Challenge

The requirements of the 21st century are quite different than those of earlier years. New needs continually arise, along with new tools, technologies, and materials. Designers are starting to address some of the major societal issues facing the planet. Does design education prepare them to work with and lead the multidisciplinary teams required to work on these complex sociotechnical systems?

The Origins

We are embarking on a serious effort to rethink design education for the 21st century. We started with the multiple thoughtful articles in two special issues of the journal She Ji on design education (download from our website). This inspired us to assemble a team of senior designers from academia and business to serve as a steering committee to start a large effort to rethink design education.

The Design Lab’s Srishti Palani Wins Google’s PhD Fellowship

In continuing excellence among UC San Diego Design Lab researchers, Srishti Palani, a PhD student and Department of Cognitive Science at the Design Lab, was named a 2021 Google PhD Fellow for her work in Human Computer Interaction focused on improving web search and intelligent guidance during creative work. The fellowship is open to researchers in computer science and related fields. Palani was one of 60 students throughout the world to be selected for a Google Fellowship–an award that supports outstanding and promising PhD candidates of all backgrounds who seek to influence the future of technology by providing funding, mentorship, collaboration and internship opportunities.

Palani’s research takes an interdisciplinary approach involving cognitive, computer, and learning sciences to better web search and intelligent scaffolding of complex creative information work. “We use web search almost every day to search things, and it affects how we learn and work and create and collaborate. I’m really passionate about researching this area and building novel computational techniques that integrate web search into people's larger work context. Google, of course, has the most state-of-the-art web search technology that has existed in my lifetime, so I’ve always wanted to collaborate with the researchers, software engineers, and data scientists there to understand how we can get a better web search when people want to search for more complex information needs.”

Postdoc Researcher Zhutian Chen is Visualizing Data in Augmented Reality

Currently a postdoctoral researcher at the UC San Diego Design Lab and at the Creativity Lab, Zhutian Chen describes what he does as visualizing data in an augmented reality environment. Chen seeks to visualize data “beyond the desktop” and to “allow the user to interact with [the data].” 

Before joining the Design Lab, Chen originally earned his B.S. in Computer Software Engineering at the South China University of Technology, eventually earning his Ph.D. in Computer Science at the Hong Kong University of Science and Technology. During his time as an undergraduate, Chen was given the opportunity to intern for Microsoft Research as a research assistant where he discovered his newfound interest in Human-Computer Interaction (HCI). 

“Before my internship in Microsoft Research, I think [I was] more interested in doing research related to data mining and machine learning,” says Chen. “However, I [found] out that HCI is much more interesting because it makes you engage the human.” 
Benjamin Bergen

Design Lab member Benjamin Bergen featured as an expert in “History of Swear Words”

Picture Credit: Netflix

Design Lab member and UC San Diego Cognitive Science professor Benjamin Bergen was featured as an expert in "History of Swear Words," a new Netflix comedy series exploring the usage of and science behind cursing. Bergen is the author of "What the F: What Swearing Reveals About Our Language, Our Brains, and Ourselves" and "Louder Than Words: The New Science of How the Mind Makes Meaning"

Watch the full series now on Netflix!
Back To Top