- Out-of-Stock
To create truly effective human-centric ambient intelligence systems, both engineering and computing methods are needed. This is the first book to create intelligent human-centered ambient intelligence systems. Interdisciplinary in nature, the book covers topics such as multi-modal interfaces, human-computer interaction, smart environments and pervasive computing, addressing principles, paradigms, methods and applications.
This book is an ideal reference for university researchers, R & D engineers, and multi-modal interfaces, computer-engineers, and graduate students working in signal, speech and video applications.
Hamid Aghajan is a Professor of Electrical Engineering at Stanford University, USA. His research is on user-centric vision applications in smart homes, assisted living / well being, smart meetings, and avatar-based social interactions. He is Editor-in-Chief of "Journal of Ambient Intelligence and Smart Environments", has chaired ACM / IEEE ICDSC 2008, and organized workshops / sessions / tutorials at ECCV, ACM MM, FG, ECAI, ICASSP, CVPR.
Juan Carlos Augusto is a Lecturer at the University of Ulster, UK. He is conducting research on Smart Homes and Classrooms. He has given tutorials at IJCAI'07 and AAAI'08. He is the Editor-in-Chief of the Book Series on "Ambient Intelligence and Smart Environments" and the "Journal of Ambient Intelligence and Smart Environments". He has co-Chaired ICOST'06, AITAmI'06 / 07/08, and is Workshops Chair for IE'09.
Ramón López-Cozar Delgado is a professor of Computer Science and Telecommunications at the University of Granada, Spain. His research efforts include speech recognition and understanding, dialogue management and Ambient Intelligence. He is a member of ISCA (International Speech Communication Association), SEPLN (Spanish Society on Natural Language Processing) and AIPO (Spanish Society on HCI).
Preface; Face to face collaborative interfaces; Computer vision interfaces for interactive art; Ubiquitous gaze: Using gaze at the interface; Exploiting natural language generation in scene interpretation; The language of action: A new tool for human-centric interfaces; Robust speech recognition under noisy ambient conditions; Speaker recognition in smart environments; Machine learning approaches to spoken language understanding; The role of calmness in user-environment interaction; Speech synthesis in ambient conditions; Tangible interfaces for ambient augmented reality applications; Physical browsing and selection: Easy interaction with ambient services; Non-symbolic gestural interaction for ambient intelligence; Evaluation of multimodal interfaces for ambient intelligence; New frontiers in machine learning for predictive user modeling; Games and entertainment in ambient intelligence environments; Natural and implicit information seeking cues in responsive technology; Interaction in intelligent environments; Deploying context-aware home health technology: Human-centric challenges; Epilogue: Applications outlook
KAmodEPAPER is a module with a clear and energy-saving EPD (e-Paper) display of the GDE035A3 series. Thanks to the derived control signals and integrated in the inverter module, the display control is simple and no additional power lines are required
No product available!
No product available!
No product available!
The Arduino 9 Axes Motion Shield allows your Arduino to measure movement: orientation, acceleration and magnetic field. A000070
No product available!
LPG / Isobutane / Propane Gas Sensor MQ-6
No product available!
GSM/GPRS + GPS module based on the RDA8955 chip. It integrates protocol stacks such as GSM/GPRS and supports the basic functions of voice calls, SMS and GPS data transmission. DFRobot TEL0134
No product available!
No product available!
Pololu m3pi Robot with mbed SocketPowerful Polol 3pi robot work. Line Follower mobile platform with two motors, 5 reflection sensors, LCD display, buzzer and three user buttons as well as mbed extension board. Pololu 2151
No product available!
1 Mpx camera module with OV9281 sensor compatible with all versions of Raspberry Pi. The maximum video resolution is 1280×800 pixels. ArduCAM B0162
No product available!
No product available!
No product available!
No product available!
Camera with a USB interface with a resolution of 8 MP. Equipped with a Sony CMOS IMX179 sensor and a wide-angle lens with a viewing angle of 105°. ArduCAM UB0229
No product available!
No product available!
No product available!
No product available!