Smartphone Sensor-Based Human Activity Recognition System: In-Depth Design Analysis with New Tools and Techniques
暫譯: 智慧型手機感測器基礎的人類活動識別系統：深入設計分析與新工具及技術

Nurul Amin Choudhury is a researcher in the field of artificial intelligence and wearable sensors. He holds a Ph.D. in Computer Science and Engineering from the National Institute of Technology (NIT) Silchar, where he previously served as a Senior Research Fellow and Junior Research Fellow in the Multimedia and Image Processing Lab under the Department of Computer Science and Engineering. He earned his M.Tech and B.Tech degrees from the National Institute of Technology, Meghalaya, and Jawaharlal Nehru Technological University, Hyderabad, in 2021 and 2018, respectively. His research interests include artificial intelligence, machine learning, IoT, AI-IoT in healthcare, human-computer interaction, feature engineering, and sensor-based human activity recognition, with a strong focus on real-world, uncontrolled environments and dataset development.

Badal Soni is an Assistant Professor in the Department of Computer Engineering at the National Institute of Technology (NIT) Silchar, India. He completed his B.Tech at Rajiv Gandhi Technical University (formerly RGPV), Bhopal, and his M.Tech at the Indian Institute of Information Technology Design and Manufacturing (IIITDM), Jabalpur. Dr. Soni earned his Ph.D. from NIT Silchar. With over twelve years of teaching and research experience in computer science and information technology, he specializes in image processing, machine learning, and natural language processing. Dr. Soni has published over 95 papers in international journals and conference proceedings, authored two books, and edited five books. He is a senior member of IEEE and holds professional memberships in several organizations, including IEEE, ACM, IAENG, and IACSIT.

Nurul Amin Choudhury 是人工智慧和可穿戴感測器領域的研究員。他擁有國立技術學院 (NIT) Silchar 的計算機科學與工程博士學位，曾在計算機科學與工程系的多媒體與影像處理實驗室擔任高級研究員和初級研究員。他於 2021 年和 2018 年分別獲得梅加拉亞國立技術學院的碩士學位和哈茲拉爾·尼赫魯科技大學的學士學位。他的研究興趣包括人工智慧、機器學習、物聯網、醫療保健中的 AI-IoT、人機互動、特徵工程以及基於感測器的人類活動識別，特別專注於現實世界的非控制環境和數據集開發。

Badal Soni 是印度國立技術學院 (NIT) Silchar 計算機工程系的助理教授。他在拉吉夫·甘地技術大學 (前身為 RGPV) 博帕爾完成了學士學位，並在印度信息技術設計與製造學院 (IIITDM) 贾巴尔普尔獲得碩士學位。Soni 博士在 NIT Silchar 獲得博士學位。擁有超過十二年的計算機科學和信息技術教學及研究經驗，他專注於影像處理、機器學習和自然語言處理。Soni 博士在國際期刊和會議論文集中發表了超過 95 篇論文，著作兩本書籍，並編輯五本書籍。他是 IEEE 的高級會員，並在多個組織中擁有專業會員資格，包括 IEEE、ACM、IAENG 和 IACSIT。