Shree K Nayar

schoolSnapbar_chart#3302 Global Rank

Total Papers

HCI Rank

#3302

Research Areas

Years Active

Recent Publications

N-euro Predictor: A Neural Network Approach for Smoothing and Predicting Motion Trajectory

"Jitter and lag severely impact the smoothness and responsiveness of user experience on vision-based human-display interactive systems such as phones, TVs, and VR/AR. Current manually-tuned filters for smoothing and predicting motion trajectory struggle to effectively address both issues, especially for applications t…

UBICOMP '23CorrespondingHuman Pose & Activity Recognition

MI-Poser: Human Body Pose Tracking Using Magnetic and Inertial Sensor Fusion with Metal Interference Mitigation

"Inside-out tracking of human body poses using wearable sensors holds significant potential for AR/VR applications, such as remote communication through 3D avatars with expressive body language. Current inside-out systems often rely on vision-based methods utilizing handheld controllers or incorporating densely distri…

CHI '23CorrespondingHand Gesture Recognition +1

AO-Finger: Hands-free Fine-grained Finger Gesture Recognition via Acoustic-Optic Sensor Fusing

Finger gesture recognition is gaining great research interest for wearable device interactions such as smartwatches and AR/VR headsets. In this paper, we propose a hands-free fine-grained finger gesture recognition system AO-Finger based on acoustic-optic sensor fusing. Specifically, we design a wristband with a modif…

CHI '21CorrespondingHand Gesture Recognition +1

BackTrack: 2D Back-of-device Interaction Through Front Touchscreen

We present BackTrack, a trackpad placed on the back of a smartphone to track fine-grained finger motions. Our system has a small form factor, with all the circuits encapsulated in a thin layer attached to a phone case. It can be used with any off-the-shelf smartphone, requiring no power supply or modification of the o…

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