helpResearch questionEMG and Biosignal Gesture Interfaces
Can noise signals in ear-EEG (electroencephalography) be redefined as useful interaction signals?Direction: Sensing, Recognition, and Security
EMG and Biosignal Gesture Interfaces
Stats are based on currently indexed question data; missing sources remain visible.
36
items
9
sources
2025
latest
All questions
36 items
helpResearch questionEMG and Biosignal Gesture Interfaces
Can ear-EEG devices with dry electrodes and real-time detection models accurately recognize user gestures?helpResearch questionEMG and Biosignal Gesture Interfaces
How can traditionally ignored noise signals in EEG be applied in practice, such as gesture recognition and health monitoring?lightbulbPractical problemEMG and Biosignal Gesture Interfaces
Existing ear-EEG devices only detect brainwaves and overlook the potential value of noise signals.helpResearch questionEMG and Biosignal Gesture Interfaces
How do different training strategies affect classification accuracy in machine learning-based myoelectric prostheses?helpResearch questionEMG and Biosignal Gesture Interfaces
Which training strategy better helps users build accurate mental models of the system?helpResearch questionEMG and Biosignal Gesture Interfaces
How can gesture discriminability-based algorithms optimize myoelectric prosthesis model training?lightbulbPractical problemEMG and Biosignal Gesture Interfaces
Users struggle to efficiently train myoelectric prosthesis models and understand their behavior.helpResearch questionEMG and Biosignal Gesture Interfaces
How can electrical impedance tomography (EIT) enable privacy-preserving, low-cost continuous hand gesture tracking?helpResearch questionEMG and Biosignal Gesture Interfaces
How can the EITPose device achieve consistent, high-accuracy gesture prediction across users and sessions?helpResearch questionEMG and Biosignal Gesture Interfaces
How can improved EIT hardware and optimized models address signal noise and unstable electrode contact in gesture estimation?lightbulbPractical problemEMG and Biosignal Gesture Interfaces
Users lack accurate gesture tracking devices in low-light or privacy-constrained environments.helpResearch questionEMG and Biosignal Gesture Interfaces
How can TENG technology be used to design self-powered skin-patch sensors?helpResearch questionEMG and Biosignal Gesture Interfaces
What levels of accuracy and reliability can these skin-patch sensors achieve in gesture recognition and haptic interaction?helpResearch questionEMG and Biosignal Gesture Interfaces
What is users' experience with skin-patch devices featuring customizable designs and sustainable performance?lightbulbPractical problemEMG and Biosignal Gesture Interfaces
Skin-patch devices require frequent charging or external power, making them inconvenient to use.helpResearch questionEMG and Biosignal Gesture Interfaces
How can ultra-flexible organic solar cells enable self-powering and visible-light sensing for electronic skin?UbiComp '23SolareSkin: Self-powered Visible Light Sensing Through a Solar Cell E-Skin
helpResearch questionEMG and Biosignal Gesture Interfaces
How can electronic skin improve light sensing and energy harvesting performance in low-motion or static environments?UbiComp '23SolareSkin: Self-powered Visible Light Sensing Through a Solar Cell E-Skin
helpResearch questionEMG and Biosignal Gesture Interfaces
Can machine learning algorithms enable electronic skin to accurately distinguish gestures and human activity types?UbiComp '23SolareSkin: Self-powered Visible Light Sensing Through a Solar Cell E-Skin
lightbulbPractical problemEMG and Biosignal Gesture Interfaces
Current electronic skin requires frequent charging, limiting wearability and continuous application.UbiComp '23SolareSkin: Self-powered Visible Light Sensing Through a Solar Cell E-Skin
helpResearch questionEMG and Biosignal Gesture Interfaces
How can single-point bioimpedance technology enable recognition of gestures, touch, objects, and users?helpResearch questionEMG and Biosignal Gesture Interfaces
Can single-point wearable devices replace interaction technologies relying on complex hardware or environmental modification?helpResearch questionEMG and Biosignal Gesture Interfaces
How can hands' electromagnetic properties enhance portable device interaction capabilities?lightbulbPractical problemEMG and Biosignal Gesture Interfaces
Users need portable interaction devices with diverse functions and no environmental modification.helpResearch questionEMG and Biosignal Gesture Interfaces
In VR, which muscle-site EMG sensor placement provides optimal interaction performance and lowest user workload?helpResearch questionEMG and Biosignal Gesture Interfaces
What are the effects of visual, haptic, and auditory feedback individually and in combination on interaction performance and subjective experience?helpResearch questionEMG and Biosignal Gesture Interfaces
How can multimodal feedback (e.g., visual + haptic) optimize EMG-based interaction performance?lightbulbPractical problemEMG and Biosignal Gesture Interfaces
Users feel overburdened or struggle to control interactions when relying on EMG technology in VR.helpResearch questionEMG and Biosignal Gesture Interfaces
How can an HCI framework be designed to optimize EMG signal-based interaction input design?helpResearch questionEMG and Biosignal Gesture Interfaces
In HCI scenarios, how can the temporal structure problem of dynamic gesture recognition versus discrete event input be addressed?helpResearch questionEMG and Biosignal Gesture Interfaces
How can robustness and generalizability be improved in EMG interaction design?lightbulbPractical problemEMG and Biosignal Gesture Interfaces
User interaction requires non-invasive, low-power input, but existing EMG technology is not intuitive or stable enough.helpResearch questionEMG and Biosignal Gesture Interfaces
How can high-density surface electromyography (sEMG)-based gesture recognition models adapt to dynamically changing electrode configurations?UbiComp '21A Feature Adaptive Learning Method for High-Density sEMG-Based Gesture Recognition
helpResearch questionEMG and Biosignal Gesture Interfaces
When electrodes are added or removed, can accurate gesture recognition be achieved without retraining the model?UbiComp '21A Feature Adaptive Learning Method for High-Density sEMG-Based Gesture Recognition
helpResearch questionEMG and Biosignal Gesture Interfaces
How can incremental and decremental feature learning improve robustness and real-time performance of gesture recognition models?UbiComp '21A Feature Adaptive Learning Method for High-Density sEMG-Based Gesture Recognition
lightbulbPractical problemEMG and Biosignal Gesture Interfaces
When wearing devices, electrode changes make it difficult for gesture recognition systems to remain stable.UbiComp '21A Feature Adaptive Learning Method for High-Density sEMG-Based Gesture Recognition
Related papers
CHI 2025
ID.EARS: One-Ear EEG Device with Biosignal Noise for Real-Time Gesture Recognition and Various Interactions
Hyunjin An, Eunkyu Oh, Yoosung Kim
IUI 2024
Comparing Teaching Strategies of a Machine Learning-based Prosthetic Arm
Vaynee Sungeelee, Nathanael Jarasse, Téo Sanchez
CHI 2024
EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose Estimation
Alexander Kyu, Hongyu Mao, Junyi Zhu
UIST 2023
Skinergy: Machine-Embroidered Silicone-Textile Composites as On-Skin Self-Powered Input Sensors
Tianhong Catherine Yu, Nancy Wang, Sarah Ellenbogen
CHI 2023
Z-Ring: Single-point Bio-impedance Sensing for Gesture, Touch, Object and User Recognition
Anandghan Waghmare, Youssef Ben Taleb, Ishan Chatterjee
CHI 2023
The Effects of Body Location and Biosignal Feedback Modality on Performance and Workload using Electromyography in Virtual Reality
Jessica Sehrt, Tim Wißmann, Jan Breitenbach
CHI 2023
A Framework and Call to Action for the Future Development of EMG-Based Input in HCI
Ethan Eddy, Erik J Scheme, Scott Bateman
Adjacent categories
Sensing, Recognition, and Security
Gesture and Pose Sensing Model Performance and Accuracy
148 items
Sensing, Recognition, and Security
Wearable Health Devices and Everyday Sensing
147 items
Sensing, Recognition, and Security
Speech, Face, and Body Pose Input
141 items
Sensing, Recognition, and Security
Biometric Authentication and Secure Identification
124 items
Sensing, Recognition, and Security
HAR Model Robustness, Generalization, and Data Augmentation
115 items
Sensing, Recognition, and Security
Wearable Health, Activity, and Behavior Monitoring
96 items
Sensing, Recognition, and Security
IMU Inertial Sensing
88 items
Sensing, Recognition, and Security
Mobile Touch and Micro-Gesture Input
87 items