Incorporating Sustainability in Electronics Design: Obstacles and OpportunitiesLife cycle assessment (LCA) is a methodology for holistically measuring the environmental impact of a product from initial manufacturing to end-of-life disposal. However, the extent to which LCA informs the design of computing devices remains unclear. To understand how this information is collected and applied, we int…2025ZEZachary Englhardt et al.University Of WashingtonSustainable HCIEcological Design & Green ComputingCHI
PPG Earring: Wireless Smart Earring for Heart Health MonitoringHeart rate is a key vital sign for cardiovascular health and fitness. However, the photoplethysmography (PPG) sensors that monitor heart rate in wearables struggle with accuracy during motion. Our day-long in-the-wild study shows Fitbit measures valid heart rates only 54.88% of the time. To address this, we developed…2025QXQiuyue (Shirley) Xue et al.University Of WashingtonSmartwatches & Fitness BandsBiosensors & Physiological MonitoringCHI
IRIS: Wireless Ring for Vision-based Smart Home InteractionIntegrating 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 smart home interactions. Equipped with a camera, Bluetooth radio, inertial measurement unit (IMU), and an onboard battery, IRIS meets the smal…2024MKMaruchi Kim et al.University Of WashingtonFoot & Wrist InteractionContext-Aware ComputingSmart Home Interaction DesignUIST
MMTSA: Multi-Modal Temporal Segment Attention Network for Efficient Human Activity Recognition"Multimodal sensors provide complementary information to develop accurate machine-learning methods for human activity recognition (HAR), but introduce significantly higher computational load, which reduces efficiency. This paper proposes an efficient multimodal neural architecture for HAR using an RGB camera and inert…2023ZGZiqi Gao et al.Tsinghua UniversityHuman Pose & Activity RecognitionUbiComp
GlucoScreen: A Smartphone-based Readerless Glucose Test Strip for Prediabetes ScreeningBlood glucose measurement is commonly used to screen for and monitor diabetes, a chronic condition characterized by the inability to effectively modulate blood glucose that can lead to heart disease, vision loss, and kidney failure. Early detection of prediabetes can forestall or reverse more serious illness if health…2023AWAnandghan Waghmare et al.University Of WashingtonChronic Disease Self-Management (Diabetes, Hypertension, etc.)Biosensors & Physiological MonitoringUbiComp
FeverPhone: Accessible Core-Body Temperature Sensing for Fever Monitoring Using Commodity SmartphonesSmartphones contain thermistors that ordinarily monitor the temperature of the device's internal components; however, these sensors are also sensitive to warm entities in contact with the device, presenting opportunities for measuring human body temperature and detecting fevers. We present FeverPhone --- a smartphone…2023JBJoseph Breda et al.University Of WashingtonBiosensors & Physiological MonitoringUbiComp
GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior ModelingThere is a growing body of research revealing that longitudinal passive sensing data from smartphones and wearable devices can capture daily behavior signals for human behavior modeling, such as depression detection. Most prior studies build and evaluate machine learning models using data collected from a single popul…2023XXXuhai Xu et al.University Of WashingtonHuman Pose & Activity RecognitionMental Health Apps & Online Support CommunitiesBiosensors & Physiological MonitoringUbiComp
FaceOri: Tracking Head Position and Orientation Using Ultrasonic Ranging on EarphonesFace 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. FaceOri can leverage the speaker on a commodity device to emit an ultrasonic chirp, which is picked up by the set of microphones on the u…2022YWYuntao Wang et al.Tsinghua UniversityEye Tracking & Gaze InteractionContext-Aware ComputingCHI
Augmented Silkscreen: Designing AR Interactions for Debugging Printed Circuit BoardsDebugging printed circuit boards (PCBs) requires frequent context switching and spatial pattern matching between software design files and physical boards. To reduce this overhead, we conduct a series of interviews with electrical engineers to understand their workflows, around which we design a set of AR interaction…2021ICIshan Chatterjee et al.University Of WashingtonAR Navigation & Context AwarenessCircuit Making & Hardware PrototypingDIS
Understanding the Design Space of Mouth MicrogesturesAs 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 techniques can already detect many mouth-based gestures; however, users’ preferences of these gestures are not fully understood. In this paper, we…2021VCVictor Chen et al.Stanford UniversityHaptic WearablesHand Gesture RecognitionDIS
Facilitating Text Entry on Smartphones with QWERTY Keyboard for Users with Parkinson’s DiseaseQWERTY is the primary smartphone text input keyboard configuration. However, insertion and substitution errors caused by hand tremors, often experienced by users with Parkinson's disease, can severely affect typing efficiency and user experience. In this paper, we investigated Parkinson's users' typing behavior on sma…2021YWYuntao Wang et al.Tsinghua UniversityMotor Impairment Assistive Input TechnologiesShape-Changing Materials & 4D PrintingCHI
Drunk User Interfaces: Determining Blood Alcohol Level through Everyday Smartphone TasksBreathalyzers, the standard quantitative method for assessing inebriation, are primarily owned by law enforcement and used only after a potentially inebriated individual is caught driving. However, not everyone has access to such specialized hardware. We present drunk user interfaces: smartphone user interfaces that m…2018AMAlex Mariakakis et al.University Of WashingtonBiosensors & Physiological MonitoringContext-Aware ComputingCHI
Convey: Exploring the Use of a Context View for ChatbotsText messaging-based conversational systems, popularly called chatbots, have seen massive growth lately. Recent work on evaluating chatbots has found that there exists a mismatch between the chatbot's state of understanding (also called context) and the user's perception of the chatbot's understanding. Users found it…2018MJMohit Jain et al.MicrosoftConversational ChatbotsCHI
Seismo: Blood Pressure Monitoring using Built-in Smartphone Accelerometer and CameraAlthough cost-effective at-home blood pressure monitors are available, a complementary mobile solution can ease the burden of measuring BP at critical points throughout the day. In this work, we developed and evaluated a smartphone-based BP monitoring application called textit{Seismo}. The technique relies on measuri…2018EWEdward Jay Wang et al.University Of WashingtonSmartwatches & Fitness BandsBiosensors & Physiological MonitoringCHI