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>Teslasuits x Cryengine

Teslasuits x Cryengine


About The Speaker

Pascal Tonecker

Pascal joined Crytek in April 2018 as Director of CRYENGINE Enterprise Solutions to manage the Enterprise Business of Crytek with focus to develop unique solutions to create world-class experiences together with clients and partners. Previously, Pascal worked at PIXOMONDO GmbH as COO and Managing Producer, managed a team of dedicated CG Artists, Motion Graphics artists and real-time developers to create outstanding, multi award winning visual effects, CG generated imagery as well as interactive Experiences for clients like IBM, HBO, Paramount, Netflix, Amazon, Wanda Group, BMW and Lufthansa. Pascal's background is film, post and visual effects production as well as creating multiplatform real-time experiences where he has been responsible for the success of numerous international projects and accounts. He is convinced that real-time technologies are a key of the digital transformation and provide an ideal framework for individualized, business-oriented solutions.

In Exhibition


Teslasuit’s full body haptic feedback system is built into the suit and can be engaged on actions, on demand, or in response to motion capture comparison. This feedback provides users with sensation and a sense of touch in virtual and augmented reality. This electro-stimulation improves the learning experience by increasing immersion, fostering 360-degree awareness, and engaging muscle memory. Teslasuit’s integrated biometric system gathers real-time data from users while training – which can be used to relay emotional state, stress level, and key health indicators. This enables interactive VR/AR training content that adapts to the trainee for personalized experiences, and measurement of key baselines to understand improvement or degradation over time. Integrated skeletal and 3D kinematic motion capture tracks human body interaction within the virtual training environment. This capture is essential to the delivery of correctly placed haptic experiences, and allows for professionals to lay down baselines users can compare against. Using motion capture in training improves motor skills by enabling haptic guidance and error augmentation based upon baselines from professionals or a user’s own past tracked actions.


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