| DC 欄位 |
值 |
語言 |
| DC.contributor | 資訊工程學系 | zh_TW |
| DC.creator | 陳紘淜 | zh_TW |
| DC.creator | Hon-Pong Chen | en_US |
| dc.date.accessioned | 2023-7-26T07:39:07Z | |
| dc.date.available | 2023-7-26T07:39:07Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=110522147 | |
| dc.contributor.department | 資訊工程學系 | zh_TW |
| DC.description | 國立中央大學 | zh_TW |
| DC.description | National Central University | en_US |
| dc.description.abstract | 人體活動辨識 (Human Activity Recognition, HAR) 在健康照護、運動分析和輔助生活等各個領域中扮演著重要的角色。隨著Wi-Fi技術的普及，Wi-Fi通道狀態資訊 (Wi-Fi Channel State Information, CSI) 因其非侵入性的特性和廣泛可用性而成為HAR的寶貴資源。本研究探討了在HAR中應用深度學習技術，利用Wi-Fi CSI進行活動辨識。系統架構包含對CSI資訊進行預處理、特徵提取模組從CSI數據中提取相關特徵，以及使用深度學習模型 (如LSTM) 進行活動辨識的分類模組。本研究的發現有助於推進使用Wi-Fi CSI的HAR技術，並為發展堅固且即時的活動辨識系統提供了深入洞察。 | zh_TW |
| dc.description.abstract | Human Activity Recognition (HAR) plays a vital role in various domains such as healthcare, sports analysis, and assisted living. With the proliferation of Wi-Fi technology, Wi-Fi Channel State Information (CSI) has emerged as a valuable resource for HAR due to its non-intrusive nature and widespread availability. In this study, we investigate the application of deep learning techniques in HAR using Wi-Fi CSI. The system′s architecture consists of preprocesses CSI information, a feature extraction module that extracts relevant features from the CSI data, and a classification module that utilizes a deep learning model, such as LSTM, to perform activity recognition. The findings of this study contribute to the advancement of HAR techniques using Wi-Fi CSI and provide insights into the development of robust and real-time activity recognition systems. | en_US |
| DC.subject | 人類行為辨識 | zh_TW |
| DC.subject | WiFi訊號 | zh_TW |
| DC.subject | 深度學習 | zh_TW |
| DC.subject | CSI | en_US |
| DC.subject | HAR | en_US |
| DC.subject | LSTM | en_US |
| DC.subject | Wi-Fi | en_US |
| DC.title | Real-time Human Activity Recognition using WiFi Channel State Information | en_US |
| dc.language.iso | en_US | en_US |
| DC.type | 博碩士論文 | zh_TW |
| DC.type | thesis | en_US |
| DC.publisher | National Central University | en_US |