商品描述
Radars, historically used in fields such as surveillance, aviation, and ground imaging, can provide new application opportunities in interactive computer systems. Their specific signal representations obscure human identity, making them well-suited for integration into privacy-oriented applications in our everyday lives. This book explores how radar enables robust, non-contact sensing for the detection of human presence, implementation of gesture-based interaction, and recognition of user intent without the need of physical contact. With scientific and technical contributions from experts in radar engineering, signal processing, human-computer interaction, computational modelling, and machine learning, the book presents signal processing techniques and tools, surveys publicly available datasets, and highlights novel applications integrating radar sensing. Radar-Based Human-Computer Interaction grounds this emerging interdisciplinary field, addressing researchers and practitioners interested in building the next generation of robust, adaptive, and privacy-preserving user interfaces through radar integration.
商品描述(中文翻譯)
雷達歷史上主要用於監控、航空和地面成像等領域，現在在互動計算機系統中提供了新的應用機會。其特定的信號表示方式能夠模糊人類身份，使其非常適合整合到我們日常生活中的隱私導向應用中。
本書探討了雷達如何實現穩健的非接觸感測，以檢測人類存在、實現基於手勢的互動，以及在不需要實體接觸的情況下識別用戶意圖。書中匯集了來自雷達工程、信號處理、人機互動、計算建模和機器學習等領域專家的科學和技術貢獻，介紹了信號處理技術和工具，調查了公開可用的數據集，並突出了整合雷達感測的新穎應用。
基於雷達的人機互動為這一新興的跨學科領域奠定了基礎，針對有興趣通過雷達整合構建下一代穩健、自適應和保護隱私的用戶界面的研究人員和實踐者。
作者簡介
Dr. Klen Čopič Pucihar is an Associate Professor at the University of Primorska, co-director of HICUP Lab, and a Research Fellow at Stellenbosch University. He holds a PhD from Lancaster University and specializes in radar sensing, user modeling, mixed reality, and memory augmentation using generative tools. His research combines user studies with diverse sensing modalities--such as radar, eye tracking, and facial expression analysis--with principles of computational thinking, including abstraction, automation, and analysis, to design, explain, and build future interactive systems. He has received awards at top conferences including ACM IUI, IEEE ISMAR, and ACM ISS, and contributes to the community by organizing scientific events, such as the First Workshop on Radar-Based HCI at EICS 2024 and multi-year service on program committees for IEEE ISMAR, ACM IUI, and ACM UMAP. Radu-Daniel Vatavu is a Professor of Computer Science at the Ștefan cel Mare University of Suceava, Romania, where he leads the Machine Intelligence and Information Visualization Lab (MintViz). With a PhD in Computer Science, his work focuses on human-computer interaction, ambient intelligence, extended reality, and accessible computing. Prof. Vatavu has led or co-led multiple funded research projects on topics involving gesture, multimodal, and natural interaction, and his research has received paper awards at CHI, ICMI, IMX, and EICS. Dr. Dariush Salami is a Radio Research Scientist at Nokia Bell Labs and a Researcher at Aalto University, Finland. He earned his Ph.D. as a Marie Sklodowska-Curie Fellow in the European Training Network WindMill, specializing in AI/ML for wireless communication and sensing. His work focuses on the intersection of cellular networks, radar technologies, machine learning, and human-computer interaction, with an emphasis on mmWave sensing for gesture recognition, localization, and human-centric applications. Dr. Salami has received the Aalto University Thesis Award and multiple prestigious grants, including from the Nokia Foundation, Startup Säätiö, FUUG Foundation, HPY Research Foundation, and TES. Committed to open science, he has released numerous datasets and tools to advance research in radar-based sensing and interaction. Dr. Nuwan T. Attygalle is a postdoc fellow at Université Catholique de Louvain, and a researcher in human-computer interaction specializing in gesture sensing through materials using mm-wave radar, recently completing his PhD at the University of Primorska. His interdisciplinary work bridges signal processing, machine learning, and HCI, with contributions spanning radar sensing, augmented reality-based language learning, protein structure analysis, and generative models for handwriting synthesis. He has received an Honourable Mention at ACM EICS 2022 and best paper award at ACM IUI 2025.
作者簡介(中文翻譯)
克倫·喬皮奇博士是普里莫斯卡大學的副教授，HICUP實驗室的共同主任，以及史丹福大學的研究員。他擁有蘭卡斯特大學的博士學位，專注於雷達感測、使用者建模、混合實境以及利用生成工具進行記憶增強。他的研究結合了使用者研究與多樣的感測模式——如雷達、眼動追蹤和面部表情分析——以及計算思維的原則，包括抽象、自動化和分析，以設計、解釋和構建未來的互動系統。他在頂尖會議上獲得獎項，包括ACM IUI、IEEE ISMAR和ACM ISS，並通過組織科學活動為社群做出貢獻，例如在EICS 2024舉辦的第一屆基於雷達的人機互動研討會，以及在IEEE ISMAR、ACM IUI和ACM UMAP的程序委員會上多年的服務。
拉杜·丹尼爾·瓦塔夫是羅馬尼亞蘇恰瓦的史蒂芬大學計算機科學教授，領導機器智能與信息可視化實驗室（MintViz）。他擁有計算機科學的博士學位，研究重點在於人機互動、環境智能、擴增實境和可及計算。瓦塔夫教授曾主導或共同主導多個資助的研究項目，涉及手勢、多模態和自然互動，並在CHI、ICMI、IMX和EICS等會議上獲得論文獎。
達里烏什·薩拉米博士是諾基亞貝爾實驗室的無線電研究科學家，也是芬蘭阿爾托大學的研究員。他作為歐洲培訓網絡WindMill的瑪麗·斯克沃多夫斯卡-居里研究員獲得博士學位，專注於無線通信和感測的AI/ML。他的工作集中在蜂窩網絡、雷達技術、機器學習和人機互動的交集上，特別強調毫米波感測在手勢識別、定位和以人為中心的應用中的應用。薩拉米博士獲得了阿爾托大學論文獎和多個著名的資助，包括來自諾基亞基金會、Startup Säätiö、FUUG基金會、HPY研究基金會和TES的資助。致力於開放科學，他已發布多個數據集和工具，以推進基於雷達的感測和互動研究。
努萬·T·阿提加勒博士是洛萬天主教大學的博士後研究員，專注於通過材料進行手勢感測的人機互動研究，最近在普里莫斯卡大學完成了他的博士學位。他的跨學科工作橋接了信號處理、機器學習和人機互動，涵蓋了雷達感測、基於擴增實境的語言學習、蛋白質結構分析以及用於手寫合成的生成模型。他在ACM EICS 2022獲得榮譽提名，並在ACM IUI 2025獲得最佳論文獎。
