
Explore novel interaction techniques for on-body and out-of-body technologies, including wearables, robots, and drones, to enhance human-machine integration and extend physical abilities.

Panel discussion exploring tinyML's current state and future potential, featuring experts from Qualcomm and Google. Covers applications, challenges, privacy concerns, and emerging opportunities in ultra-low power embedded AI computing.

Explore visual inference techniques, including bottom-up attention and unsupervised object discovery, with applications in neuroscience, gesture recognition, and machine learning.

Explore advanced robotics with this high-quality Arduino kit featuring mecanum wheels, multiple sensors, and versatile programming options for beginners and professionals alike.

In this tutorial series, we would be working on hands-on projects using OpenCV and Python.

Learn face detection, recognition, and object detection using OpenCV and Python. Develop practical skills in computer vision, including gesture recognition and virtual mouse creation.

Explore interaction patterns and accessibility in non-traditional environments like mixed reality and wearables, focusing on next-generation interfaces and user interaction methods.

Explore visual generative models, language-gesture conditioning, and video-to-robot action in this tech talk on advanced machine learning for robotics, featuring research insights and future directions.

Explore innovative user interactions for earbuds, immersive maps, foldable interfaces, and smartphone movements in this cutting-edge session on human-computer interaction.

Explore AR's impact on education and learn to create a 3D solar system model with gestures, animations, and particle effects using Spark AR.

React's future: performance improvements, new features for animations and gestures, enhanced developer tools, and advancements in React Native, aiming to simplify web development and improve product quality.

Create a 3D iOS game with Swift 4 and Scene Kit, featuring motion control, follow camera, collisions, and sound effects. Learn essential game development techniques in Xcode.

Explore adaptive input experiences across devices, from touch to motion controllers. Learn tips for handling various input types and discover future input possibilities for web development.

Explore cutting-edge insights on interactive surfaces and spaces in this captivating keynote by Pourang Irani, delving into the future of human-computer interaction and spatial computing.

Cutting-edge spatial user interaction research showcased through rapid-fire presentations on demos and posters, covering topics like mixed reality, 3D positioning, smartwatch interactions, and AR displays.

Learn to implement custom gestures in Jetpack Compose, enhancing your app's interactivity. Covers terminology, tools, accessibility, multi-select, state management, hit testing, and conflict resolution.

Explore AIfES, an open-source AI framework for embedded systems, enabling neural network deployment and training on various hardware, including 8-bit microcontrollers and Arduino boards.

Overview of training neural networks for gesture recognition using accelerometer data on a low-power device. Covers data collection, augmentation, network architecture, and performance for smartwatch applications.

Learn to build an IMU-based gesture recognition model for Arduino, covering data gathering, training, and deployment using TensorFlow Lite Micro and CMSIS-NN library.

Learn to create a fun, interactive Human Pong game using computer vision and body tracking. Develop skills in motion detection and real-time gameplay mechanics.

Innovative IMU ring-based system for continuous American Sign Language recognition, utilizing virtual IMU data to enhance accuracy and expand vocabulary coverage.