Nathan DeVrio

schoolCarnegie Mellon Universitybar_chart#2630 Global Rank

Total Papers

HCI Rank

#2630

Research Areas

Years Active

Recent Publications

EclipseTouch: Touch Segmentation on Ad Hoc Surfaces using Worn Infrared Shadow Casting

The ability to detect touch events on uninstrumented, everyday surfaces has been a long-standing goal for mixed reality systems. Prior work has shown that virtual interfaces bound to physical surfaces offer performance and ergonomic benefits over tapping at interfaces floating in the air. A wide variety of approaches…

MOBILEHCI '251st AuthorBest PaperFoot & Wrist Interaction +1

Contextra: Detecting Object Grasps With Low-Power Cameras and Sensor Fusion On the Wrist

Knowing when a user picks up an object plays a vital role in many context-aware applications. For example, tracking water consumption, counting calories consumed, or reminding you to bring your keys are all context-centered scenarios involving picking up objects. In this project, we propose Contextra, a wrist-worn sys…

CHI '251st AuthorHaptic Wearables +2

Reel Feel: Rich Haptic XR Experiences Using an Active, Worn, Multi-String Device

While many haptic systems have been demonstrated for use in virtual and augmented reality, they most often enable a single category of feedback (e.g., kinematic breaking, object compliance, textures). Combining prior systems to achieve multi-dimensional effects is unwieldy, expensive, and often physically impossible.…

UIST '231st AuthorHuman Pose & Activity Recognition +2

SmartPoser: Arm Pose Estimation With a Smartphone and Smartwatch Using UWB and IMU Data

The ability to track a user's arm pose could be valuable in a wide range of applications, including fitness, rehabilitation, augmented reality input, life logging, and context-aware assistants. Unfortunately, this capability is not readily available to consumers. Systems either require cameras, which carry privacy iss…

UIST '221st AuthorFull-Body Interaction & Embodied Input +2

DiscoBand: Multiview Depth-Sensing Smartwatch Strap for Hand, Arm and Environment Tracking

Real-time tracking of a user’s hands, arms and environment is valuable in a wide variety of HCI applications, from context awareness to virtual reality. Rather than rely on fixed and external tracking infrastructure, the most flexible and consumer-friendly approaches are mobile, self-contained, and compatible with pop…

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