惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
爱范儿
爱范儿
博客园 - 三生石上(FineUI控件)
Vercel News
Vercel News
M
MIT News - Artificial intelligence
L
LangChain Blog
大猫的无限游戏
大猫的无限游戏
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
Microsoft Azure Blog
Microsoft Azure Blog
J
Java Code Geeks
Recent Announcements
Recent Announcements
Stack Overflow Blog
Stack Overflow Blog
人人都是产品经理
人人都是产品经理
IT之家
IT之家
F
Fortinet All Blogs
博客园 - 聂微东
U
Unit 42
Martin Fowler
Martin Fowler
腾讯CDC
博客园_首页
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
量子位
阮一峰的网络日志
阮一峰的网络日志
博客园 - Franky

eess.SP updates on arXiv.org

ECG-biometrics-bench: A Unified Framework for Reproducible Benchmarking of ECG Biometrics Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning Towards Improving Speaker Distance Estimation through Generative Impulse Response Augmentation Federated Learning with Hypergradient-based Online Update of Aggregation Weights Soft Graph Diffusion Transformer for MIMO Detection SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting Sequential Inference for Gaussian Processes: A Signal Processing Perspective Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework Recent Advances in mm-Wave and Sub-THz/THz Oscillators for FutureG Technologies Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation Adaptive Transform Coding for Semantic Compression EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures Sparse Graph Learning from Sparse Data via Fiedler Number Maximization A Deep Learning Model for Battery State Prediction towards Intelligent Energy Management Transfer Learning for Tonal Noise Prediction in VRF Units Using Thermodynamic and Vibration Signals EVT-Based Generative AI for Tail-Aware Channel Estimation Monitoring exposure-length variations in submarine power cables using distributed fiber-optic sensing BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Phase-Separated Complex Hilbert PCA on Markerless 3D Pose Estimation Data: A Global Phase Network and Its Extension to a Continuous Field on the Body Surface Selective Correlation Based Knowledge Distillation for Ground Reaction Force Estimation Deep Learning-Enabled Dissolved Oxygen Sensing in Biofouling Environments for Ocean Monitoring Speech Enhancement Based on Drifting Models Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection An AI-Based Supervisory Measurement Integrity Validation Layer for Cyber-Resilient AC/DC Protection in Inverter-Based Microgrids Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Time-Localized Parametric Decomposition of Respiratory Airflow for Sub-Breath Analysis NAKUL-Med: Spectral-Graph State Space Models with Dynamics Kernels for Medical Signals An Algorithm for On-Sensor Agnostic Detection of Changes in Human Activity for Ultra-Low-Power Applications
Electrophysiological indicators of gesture perception
Maria E. Cabrera, Keisha Novak, Dan Foti, Richard Voyles, Juan P · 2018-11-13 · via eess.SP updates on arXiv.org

Background: While there has been abundant research concerning neurological responses to gesture generation, the time course of gesture processing is not well understood. Specifically, it is not clear if or how particular characteristics within the kinematic execution of gestures capture attention and aid in the classification of gestures with communicative intent. If indeed key features of gestures with perceptual saliency exist, such features could help form the basis of a compact representation of the gestures in memory. Methods: This study used a set of available gesture videos as stimuli. The timing for salient features of performed gestures was determined by isolating inflection points in the hands' motion trajectories. Participants passively viewed the gesture videos while continuous EEG data was collected. We focused on mu oscillations (10 Hz) and used linear regression to test for associations between the timing of mu oscillations and inflection points in motion trajectories. Results: Peaks in the EEG signals at central and occipital electrodes were used to isolate the salient events within each gesture. EEG power oscillations were detected 343 and 400ms on average after inflection points at occipital and central electrodes, respectively. A regression model showed that inflection points in the motion trajectories strongly predicted subsequent mu oscillations (R^2=0.961, p<.01). Conclusion: The results suggest that coordinated activity in the visual and motor cortices are highly correlated with key motion components within gesture trajectories. These points may be associated with neural signatures used to encode gestures in memory for later identification and even recognition.