David is a five-time entrepreneur, MIT lecturer, author, and expert on digital product innovation, computer vision, spatial computing, and the internet of things. He is a futurist at EPAM Continuum prototyping new product and service concepts that exploit emerging platforms like AI, AR/VR, wearables, embodied interaction, and affective computing. He is the author of "Enchanted Objects: Design, Human Desire, and the Internet of Things," and holds patents for photo sharing, interactive TV, ambient information displays, medical devices, and machine learning algorithms. His work has been featured at the MoMA; covered in The New York Times, WIRED, and The Economist. He has been a guest on The Daily Show and parodied on The Colbert Report.
Motion analytics has been around for a while, but with more recent advancements in machine learning, it's getting a new life. Learn how machine learning is driving motion analysis into more enterprises.
Human pose estimation algorithms are developing rapidly, improving in all areas of 3D accuracy, computational requirements, ability to interpret crowds of people or players and size of the target.