HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Haptics, Input Performance, and Perceptual Design / Wearable Micro-Gesture and Pose Tracking

Most pose tracking solutions in mobile scenarios require multiple devices and raise serious privacy concerns.

lightbulbPractical problemWearable Micro-Gesture and Pose Tracking

Most pose tracking solutions in mobile scenarios require multiple devices and raise serious privacy concerns.

UbiComp '22BodyTrak: Inferring Full-body Poses from Body Silhouettes Using a Miniature Camera on a Wristband

Similar questions

lightbulbPractical problemWearable Micro-Gesture and Pose Tracking

Smartwatches' small screens lead to low interaction efficiency and difficult target selection.

CHI '25Cross, Dwell, or Pinch: Designing and Evaluating Around-Device Selection Methods for Unmodified Smartwatches

lightbulbPractical problemWearable Micro-Gesture and Pose Tracking

Users in privacy-sensitive settings struggle to perform real-time 3D gesture tracking with cameras.

UIST '24Demo of EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose Estimation

lightbulbPractical problemWearable Micro-Gesture and Pose Tracking

Existing gesture tracking devices are bulky and expensive, preventing convenient continuous gesture tracking.

UbiComp '24Ring-a-Pose: A Ring for Continuous Hand Pose Tracking

lightbulbPractical problemWearable Micro-Gesture and Pose Tracking

Existing gesture tracking technologies have high power consumption, are invasive, or lack comfort.

CHI '24EchoWrist: Continuous Hand Pose Tracking and Hand-Object Interaction Recognition Using Low-Power Active Acoustic Sensing On a Wristband

lightbulbPractical problemWearable Micro-Gesture and Pose Tracking

Smartwatch screens are too small to enable convenient finger-based interaction.

UIST '23 Robust Finger Interactions with COTS Smartwatches via Unsupervised Siamese Adaptation

lightbulbPractical problemWearable Micro-Gesture and Pose Tracking

Users currently cannot achieve precise, mobile, and portable arm motion tracking with existing smartwatches.

UIST '23SmartPoser: Arm Pose Estimation With a Smartphone and Smartwatch Using UWB and IMU Data

Related papers

Cross, Dwell, or Pinch: Designing and Evaluating Around-Device Selection Methods for Unmodified Smartwatches

Jiwan Kim, Jiwan Son, Ian Oakley

EchoWrist: Continuous Hand Pose Tracking and Hand-Object Interaction Recognition Using Low-Power Active Acoustic Sensing On a Wristband

Chi-Jung Lee, Ruidong Zhang, Devansh Agarwal

Robust Finger Interactions with COTS Smartwatches via Unsupervised Siamese Adaptation

Wenqiang Chen, Ziqi Wang, Pengrui Quan

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

Nathan DeVrio, Vimal Mollyn, Chris Harrison

DRG-Keyboard: Enabling Subtle Gesture Typing on the Fingertip with Dual IMU Rings

Chen Liang, Chi Hsia, Chun Yu

IMUPoser: Full-Body Pose Estimation using IMUs in Phones, Watches, and Earbuds

Vimal Mollyn, Riku Arakawa, Mayank Goel

LipLearner: Customizable Silent Speech Interactions on Mobile Devices

Zixiong Su, Shitao Fang, Jun Rekimoto

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

Nathan DeVrio, Chris Harrison

EtherPose: Continuous Hand Pose Tracking with Wrist-Worn Antenna Impedance Characteristic Sensing

Daehwa Kim, Chris Harrison

Understanding Gesture Input Articulation with Upper-Body Wearables for Users with Upper-Body Motor Impairments

Radu-Daniel Vatavu, Ovidiu-Ciprian Ungurean

Enabling Hand Gesture Customization on Wrist-Worn Devices

Xuhai Xu, Jun Gong, Carolina Brum

SonarID: Using Sonar to Identify Fingers on a Smartwatch

Jiwan Kim, Ian Oakley