| 书目名称 | Quantifying and Processing Biomedical and Behavioral Signals |
| 编辑 | Anna Esposito,Marcos Faundez-Zanuy,Eros Pasero |
| 视频video | |
| 概述 | Covers various scientific areas in machine learning, artificial neural networks, social and biometric data for applications in human–computer interactions.Presents recent research in dynamic signal ex |
| 丛书名称 | Smart Innovation, Systems and Technologies |
| 图书封面 |  |
| 描述 | .The book is based on interdisciplinary research on various aspects and dynamics of human multimodal signal exchanges. It discusses realistic application scenarios where human interaction is the focus, in order to.identify new methods for data processing and data flow coordination through synchronization, and optimization of new encoding features combining contextually enacted communicative signals, and.develop shared digital data repositories and annotation standards for benchmarking the algorithmic feasibility and successive implementation of believable human–computer interaction (HCI) systems..This book is a valuable resource for .a. the research community, PhD students, early stage researchers.c. schools, hospitals, and rehabilitation and assisted-living centers.e. the ICT market, and representatives from multimedia industries. |
| 出版日期 | Book 2019 |
| 关键词 | Machine Learning Methods; User Modelling; Neural Networks; Artificial Intelligence; Customer Care; Situat |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-95095-2 |
| isbn_softcover | 978-3-030-06976-6 |
| isbn_ebook | 978-3-319-95095-2Series ISSN 2190-3018 Series E-ISSN 2190-3026 |
| issn_series | 2190-3018 |
| copyright | Springer International Publishing AG, part of Springer Nature 2019 |
发表于 2025-3-21 17:41:20
