150 citations · 343 across the 20 of their papers we have counts for
20 papers
GazeSummary: Exploring Gaze as an Implicit Prompt for Personalization in Text-based LLM Tasks
Jiexin Ding, Yizhuo Zhang, Xinyun Liu +4
Smart glasses are accelerating progress toward more seamless and personalized LLM-based assistance by integrating multimodal inputs. Yet, these inputs rely on obtrusive explicit pr…
IRIS: Wireless Ring for Vision-based Smart Home Interaction
Maruchi Kim, Antonio Glenn, Bandhav Veluri +5
Integrating cameras into wireless smart rings has been challenging due to size and power constraints. We introduce IRIS, the first wireless vision-enabled smart ring system for sma…
FaceOri: Tracking Head Position and Orientation Using Ultrasonic Ranging on Earphones
Yuntao Wang, Jiexin Ding, Ishan Chatterjee +5
Face orientation can often indicate users' intended interaction target. In this paper, we propose FaceOri, a novel face tracking technique based on acoustic ranging using earphones…
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
Chunjong Park, Anas Awadalla, Tadayoshi Kohno +1
Unpredictable ML model behavior on unseen data, especially in the health domain, raises serious concerns about its safety as repercussions for mistakes can be fatal. In this paper,…
Understanding the Design Space of Mouth Microgestures
Victor Chen, Xuhai Xu, Richard Li +3
As wearable devices move toward the face (i.e. smart earbuds, glasses), there is an increasing need to facilitate intuitive interactions with these devices. Current sensing techniq…
Smartphone Camera Oximetry in an Induced Hypoxemia Study
Jason S. Hoffman, Varun Viswanath, Xinyi Ding +4
Hypoxemia, a medical condition that occurs when the blood is not carrying enough oxygen to adequately supply the tissues, is a leading indicator for dangerous complications of resp…
Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance
Chunjong Park, Morelle Arian, Xin Liu +5
Sleep is critical to human function, mediating factors like memory, mood, energy, and alertness; therefore, it is commonly conjectured that a good night's sleep is important for jo…
SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices
Xin Liu, Yuang Li, Josh Fromm +4
Super-resolution (SR) is a coveted image processing technique for mobile apps ranging from the basic camera apps to mobile health. Existing SR algorithms rely on deep learning mode…
MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement
Xin Liu, Ziheng Jiang, Josh Fromm +3
There are large individual differences in physiological processes, making designing personalized health sensing algorithms challenging. Existing machine learning systems struggle t…
Optical Gaze Tracking with Spatially-Sparse Single-Pixel Detectors
Richard Li, Eric Whitmire, Michael Stengel +5
Gaze tracking is an essential component of next generation displays for virtual reality and augmented reality applications. Traditional camera-based gaze trackers used in next gene…
Safety, Security, and Privacy Threats Posed by Accelerating Trends in the Internet of Things
Kevin Fu, Tadayoshi Kohno, Daniel Lopresti +5
The Internet of Things (IoT) is already transforming industries, cities, and homes. The economic value of this transformation across all industries is estimated to be trillions of…
Transfer Learning for Activity Recognition in Mobile Health
Yuchao Ma, Andrew T. Campbell, Diane J. Cook +6
While activity recognition from inertial sensors holds potential for mobile health, differences in sensing platforms and user movement patterns cause performance degradation. Aimin…
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
Xin Liu, Josh Fromm, Shwetak Patel +1
Telehealth and remote health monitoring have become increasingly important during the SARS-CoV-2 pandemic and it is widely expected that this will have a lasting impact on healthca…
Evolving Academia/Industry Relations in Computing Research
Greg Morrisett, Shwetak Patel, Jennifer Rexford +1
In 2015, the CCC co-sponsored an industry round table that produced the document "The Future of Computing Research: Industry-Academic Collaborations". Since then, several important…
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks
Josh Fromm, Shwetak Patel, Matthai Philipose
Recent work has shown that fast, compact low-bitwidth neural networks can be surprisingly accurate. These networks use homogeneous binarization: all parameters in each layer or (mo…
Research Opportunities and Visions for Smart and Pervasive Health
Elizabeth Mynatt, Gregory D. Hager, Santosh Kumar +4
Improving the health of the nation's population and increasing the capabilities of the US healthcare system to support diagnosis, treatment, and prevention of disease is a critical…
Safety and Security for Intelligent Infrastructure
Kevin Fu, Ann Drobnis, Greg Morrisett +4
Increasingly, smart computing devices, with powerful sensors and internet connectivity, are being embedded into all new forms of infrastructure, from hospitals to roads to factorie…
A National Research Agenda for Intelligent Infrastructure
Elizabeth Mynatt, Jennifer Clark, Greg Hager +8
Our infrastructure touches the day-to-day life of each of our fellow citizens, and its capabilities, integrity and sustainability are crucial to the overall competitiveness and pro…
Systems Computing Challenges in the Internet of Things
Rajeev Alur, Emery Berger, Ann W. Drobnis +10
A recent McKinsey report estimates the economic impact of the Internet of Things (IoT) to be between 11 trillion dollars by 20251 . IoT has the potential to have a profoun…
Smart Communities Internet of Things
Klara Nahrstedt, Daniel Lopresti, Ben Zorn +4
Today's cities face many challenges due to population growth, aging population, pedestrian and vehicular traffic congestion, water usage increase, increased electricity demands, cr…