We are Revolutionizing interaction
Interaction with machines is constantly changing. Automation is increasing, but the number of machines we interact with is also increasing. These conditions require new and easier ways of interacting with machines to allow more people to control a greater number of machines with less effort and training. That’s why we are ushering in a new paradigm of control systems.
Capturing human intent
With more automation, specialized human operators become superfluous. Without specialized operators there is an increasing necessity for anyone involved in a work process to be able to easily interact with and move objects in a VR environment or to show an industrial machine what to do. In order to let anyone control any machine we need to make the interaction easy and intuitive.
We are building a system of interaction between the people and the machines that is user centered – not machine centered. The machine will understand the user – not the other way around. Our goal is to understand the intent of the user and translate it to machines. This is how we are moving beyond motion capture and into the world of intention capture.
Going forwards, we aim to create cutting-edge interaction systems in collaborative projects with other companies and industry partners. If you and/or your company are interested in developing the next generation of interaction systems with us, do not hesitate to get in touch!
A paradigm shift in interaction system
Control drones just by hand gestures
The Drone Glove is a sensor-based glove that enables the user to interact with software and machines through intuitive motions. The glove features a set of sensors that captures the movements of the hand, and it has a custom designed microchip. The sensors are placed on the fingers and the back of the hand. The movements of the hand are then translated to the corresponding control commands. The glove can communicate through Bluetooth, Bluetooth Low Energy and RF signals.
Make heavy industry-work easier
After developing the proof-of-concept, Drone Glove, we moved on to other use cases. We began by creating a simple 3D visualization of the hand movements through a 3D model of a hand that moves corresponding to the user’s hand. Ntention continued development by creating a small portfolio of “proof-of-concept” projects. With the help and expertise of BLJ Engineering, we built a 7-joint robot arm, and we developed a way to steer the robot arm and perform simple tasks with the Ntention Smart Glove.
Express your intention through art
The Music Glove project uses the Humi Pro-Glove to control music applications. It allows the user to intuitively change any musical parameter with hand gestures. Examples include affecting the tone of a bassline by moving one’s hand up and down, or triggering different notes by moving one’s finger. Combining the Humi Pro-Glove’s highly accurate data output with the company’s proprietary software, users of the Music Glove can express artistic intentions beyond the scope of any traditional instrument.
Use natural controls in Virtual Reality
Ntention uses a glove to create an innovative way of interacting with a virtual world. We track hand position and finger poses with our sensor gloves, which would be sent to a 3D mesh of a hand. We have developed a cutting-edge, gesture-based interaction system. We have implemented grip- and teleport functionality, and developed ways to use the VR system on large 3D BIM models. We worked closely with Norconsult to tailor an interaction system to their needs, both for architects, engineers, and training purposes.
Get your hands on a glove
The Drone Glove is a sensor-based glove that enables the user to interact with software and machines through intuitive motions. The glove features a set of sensors that captures the movements of the hand, and it has a custom designed microchip. The movements of the hand are then translated to the corresponding control commands.
To use the Drone Glove with a drone, the user would need to; put on the glove, pair the glove with the application, calibrate the glove in-app to make sure the sensors are fitted to the hand size, and connect the app to the drone. Then, the user can lift off and control the drone in the air.