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Sensing, Recognition, and Security / Gesture Sensing, Recognition Algorithms, and Sensor Technologies

Existing mmWave gesture recognition techniques suffer sharp accuracy drops when environments change.

lightbulbPractical problemGesture Sensing, Recognition Algorithms, and Sensor Technologies

Existing mmWave gesture recognition techniques suffer sharp accuracy drops when environments change.

UbiComp '22mTransSee: Enabling Environment-Independent mmWave Sensing Based Gesture Recognition via Transfer Learning

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lightbulbPractical problemGesture Sensing, Recognition Algorithms, and Sensor Technologies

Users find it complex and difficult to express needs when generating preferred images with GANs on small-screen devices.

IUI '24SwipeGANSpace: Swipe-to-Compare Image Generation via Efficient Latent Space Exploration

lightbulbPractical problemGesture Sensing, Recognition Algorithms, and Sensor Technologies

Users struggle to select IoT devices naturally while considering privacy and energy consumption.

UbiComp '23BLEselect: Gestural IoT Device Selection via Bluetooth Angle of Arrival Estimation from Smart Glasses

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Users' interaction on mobile devices is constrained, requiring multiple sensors to support multimodal functionality.

CHI '23OmniSense: Exploring Novel Input Sensing and Interaction Techniques on Mobile Device with an Omni-Directional Camera

lightbulbPractical problemGesture Sensing, Recognition Algorithms, and Sensor Technologies

Users must frequently repeat wake words or switch devices, making interaction complex.

CHI '23Enabling Voice-Accompanying Hand-to-Face Gesture Recognition with Cross-Device Sensing

lightbulbPractical problemGesture Sensing, Recognition Algorithms, and Sensor Technologies

Gesture interaction on XR devices is effortful, and existing methods struggle to detect continuous micro-gestures.

CHI '23AO-Finger: Hands-free Fine-grained Finger Gesture Recognition via Acoustic-Optic Sensor Fusing

lightbulbPractical problemGesture Sensing, Recognition Algorithms, and Sensor Technologies

Users often encounter inaccurate recognition or speed limitations in gesture input.

CHI '23WordGesture-GAN: Modeling Word-Gesture Movement with Generative Adversarial Network

Related papers

SwipeGANSpace: Swipe-to-Compare Image Generation via Efficient Latent Space Exploration

Yuto Nakashima, Mingzhe Yang, Yukino Baba

BLEselect: Gestural IoT Device Selection via Bluetooth Angle of Arrival Estimation from Smart Glasses

Tengxiang Zhang, Zitong Lan, Chenren Xu

OmniSense: Exploring Novel Input Sensing and Interaction Techniques on Mobile Device with an Omni-Directional Camera

Hui-Shyong Yeo, Erwin Wu, Daehwa Kim

Enabling Voice-Accompanying Hand-to-Face Gesture Recognition with Cross-Device Sensing

Zisu Li, Chen Liang, Yuntao Wang

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

Chenhan Xu, Bing Zhou, Gurunandan Krishnan

WordGesture-GAN: Modeling Word-Gesture Movement with Generative Adversarial Network

Jeremy Chu, Dongsheng An, Yan Ma

Effective 2D Stroke-based Gesture Augmentation for RNNs

Mykola Maslych, Eugene Matthew Taranta, Mostafa Aldilati

Estimating 3D Finger Pose via 2D-3D Fingerprint Matching

Yongjie Duan, Ke He, Jianjiang Feng

The Voight-Kampff Machine for Automatic Custom Gesture Rejection Threshold Selection

Eugene Matthew Taranta, Mykola Maslych, Ryan Ghamandi

ReflecTouch: Detecting Grasp Posture of Smartphone Using Corneal Reflection Images

Xiang Zhang, Kaori Ikematsu, Kunihiro Kato

DeepNAG: Deep Non-Adversarial Gesture Generation

Mehran Maghoumi, Eugene M. Taranta, Joseph J. LaViola

Styling Words: A Simple and Natural Way to Increase Variability in Training Data Collection for Gesture Recognition

Woojin Kang, In-Taek Jung, DaeHo Lee