Presented at FITC Wearables on November 13th, 2014
More info at www.fitc.ca/wearables
The Future of Motion/Gesture Technology
with Chris Goodine
November 13 2014, 2:05 - 2:35pm
GLENN GOULD STUDIO
OVERVIEW
Motion/gesture recognition and control technology allows us to manipulate our digital content with natural and intuitive interactions. Chris Goodine, an expert in the area of human-computer interaction, will highlight how motion/gesture technology will change the way people interact with computers and will explain the resulting benefits to productivity and technology adoption. He will discuss the current landscape of solutions, including the Leap Motion, Microsoft Kinect, and Thalmic Labs Myo armband, and will dive deep into the how these technologies work. From there, Chris will discuss where he believes motion/gesture technology is headed, based on current trends and technological capabilities.
OBJECTIVE
Deep dive into motion/gesture recognition and control technology.
FIVE THINGS AUDIENCE MEMBERS WILL LEARN
What is motion/gesture recognition and control?
Why is this technology so important?
What solutions are available today?
How does motion/gesture technology work?
Where will motion/gesture technology be in the future?
John Anderton = Tom Cruise
What is Gesture Recognition
Gesture recognition is the future of human-computer interaction
It allows up to control content in the digital world the same way that we control content in the physical world
The primary goal of gesture recognition is to interpret natural human gestures, including facial expressions, body movements, and hand gestures.
Today gesture recognition technologies are built using precise cameras and sensors.
Dr. Albert Mehrabian, author of Silent Messages
Words = 7% of any message is conveyed through words
Vocal Elements = 38% through certain vocal elements
Nonverbal = 55%
(facial expressions, gestures, posture, etc).
Dr. Albert Mehrabian, author of Silent Messages
Words = 7% of any message is conveyed through words
Vocal Elements = 38% through certain vocal elements
Nonverbal = 55%
(facial expressions, gestures, posture, etc).
Night Vision Camera
2 monochromatic IR cameras
3 infrared LEDs
device observes a roughly hemispherical area, to a distance of about 1 meter (3 feet).
The LEDs generate a 3D pattern of dots of IR light[21] and the cameras generate almost 300 frames per second of reflected data, which is then sent through a USB cable to the host computer, where it is analyzed by the Leap Motion controller software using "complex maths"
2 stereo cameras
3 infrared LEDs
device observes a roughly hemispherical area, to a distance of about 1 meter (3 feet).
The LEDs generate a 3D pattern of dots of IR light[21] and the cameras generate almost 300 frames per second of reflected data, which is then sent through a USB cable to the host computer, where it is analyzed by the Leap Motion controller software using "complex maths"
What is Gesture Recognition
Gesture recognition is the future of human-computer interaction
It allows up to control content in the digital world the same way that we control content in the physical world
The primary goal of gesture recognition is to interpret natural human gestures, including facial expressions, body movements, and hand gestures.
Today gesture recognition technologies are built using precise cameras and sensors.