Lead Scientist (TECNIOspring Program)

Updated: 5 months ago
Job Type: FullTime
Deadline: 31 Jul 2020

Chordata Motion is applying for TECNIOSpring program for the following project:
"Novel indoor positioning system for human motion capture" 

About Us

Chordata Motion is the first open-source motion capture system available on the market. Our mission is to deliver accurate inertial based motion capture solutions in an affordable, modular and flexible way.

Currently, our main development is a motion capture system composed at its core of hardware components and several software pieces that collaborate to generate the capture. The software exposes several layers of APIs, and the user can access the sources of the hardware. All these characteristics make the system completely customizable and make us refer to it as an open-source hardware/software motion capture framework.

While Chordata Motion’s system is still at prototype stage, it is already being implemented by users around the globe in thriving sectors such as Virtual Reality, Sports and Health research, Animation, Video Game Development or Digital Arts.

Chordata Motion’s development started in 2015 as an autonomous investigation by our Tech Lead, who created the software and hardware relying heavily on already existing open-source libraries, resulting in the first functional prototype of the system. Since 2018, the system and source code were released gathering a growing community of users and collaborators who contribute to the development of hardware and software. Currently, and in coordination with Catalan technology centers as well as external consulting engineers, the first production-quality product is being finalized and it will be available for sale by the end of 2020. The incorporation of the researcher, therefore, is needed for the development of the next generation of Chordata Motion’s product.

Chordata Tech, the company behind Chordata Motion, is young, dynamic and guided by the values of the open-source community: transparency, shared knowledge and flexibility. Our products are conceived to follow these criteria, providing users with the tools and knowledge to make motion capture on their own terms.


What we offer

Chordata Motion offers the opportunity for an experienced researcher to apply to TECNIOspring PLUS, an ACCIÓ's fellowship program co-financed by the H2020 Marie Skłodowska-Curie actions of the European Union. The fellowship will be for 2-years employment contracts to develop a Research & Development project in Chordata Motion, applied to industry Innovation. Chordata Motion offers experienced researchers in the following type of fellowships:

Incoming: a 2-year contract in Chordata Motion 


Project

Inertial motion capture is known to deliver inaccurate results for the spatial positioning of the subject. This is especially true in the field of affordable mocap solutions, where the reduced costs of the products make it almost impossible to develop complete algorithmic solutions to obtain reliable spatial translation based on inertial only data.

To overcome this difficulty the Chordata Motion strategy is to research the contribution of additional sensors in order to deploy an indoor positioning system capable of compensating the deviations of the inertial-only technique.

The candidate will be in charge of the creation of a novel indoor positioning system capable of compensating the positional deviations on the estimations obtained from the inertial-magnetic data, with the optional support of additional sensors.

The research is meant to be applied in the creation of an innovative product that the current market can not offer: an affordable motion capture system that offers a translational precision without precedents on this product layer. This would enable the application of these types of systems in fields that, up until now, had to rely on more advanced and expensive technologies.


Tasks
  • Improve the accuracy and or reduce the computational requirements of the existing position and orientation estimation algorithms that rely on measurements coming from MEMS inertial and magnetic sensors only.
  • Determine which technology is more suitable for providing the additional information needed to develop the indoor positioning system. This activity will be carried on in conjunction with the Tech Lead, based on candidate expertise, reliability, and requirements of the Chordata framework. Possible technologies to implement are UWB systems, RGB or RGBD cameras, LIDARs, InfraRed optical systems, among others.
  • Explore and prototype an accurate indoor positioning system with the possible contribution of the additional sensors chosen.

  • Expected results
    • Obtain accurate orientation and position estimates under a wide range of motion typologies
    • Obtain limited computational requirements, making the algorithmic solution suitable to be executed in embedded or SBC environments
    • The desired result should be as unobtrusive as possible, relying on a few, easy to set up extra components.

     
    Project Topics

    Human motion analysis, Sensor fusion, Kalman filters, MEMS-based instruments, Inertial measurement units, Perception and Computer Vision, Visual SLAM, Place recognition, Distance measurement, Location estimation, Indoor tracking, Ultra-wideband communication, wearable antennas, Biomechanics.


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