MonoEye: A human movement seize system utilizing a single wearable digital camera


MonoEye captures 3D physique pose in addition to the person’s perspective. MonoEye is predicated on a single ultra-wide fisheye digital camera worn on the person’s chest, enabling exercise seize in on a regular basis life. Credit score: Tokyo Institute of Expertise

Researchers at Tokyo Institute of Expertise (Tokyo Tech) and Carnegie Mellon College have collectively developed a brand new human movement seize system that consists of a single ultra-wide fisheye digital camera mounted on the person’s chest. The simplicity of their system may very well be conducive to a variety of functions within the sports activities, medical and leisure fields.

Laptop vision-based applied sciences are advancing quickly owing to current developments in integrating deep studying. Particularly, human movement seize is a extremely energetic analysis space driving advances for instance in robotics, pc generated animation and sports activities science.

Typical movement seize methods in specifically geared up studios sometimes depend on having a number of synchronized cameras hooked up to the ceiling and partitions that seize actions by an individual carrying a body go well with fitted with quite a few sensors. Such methods are sometimes very costly and restricted by way of the area and surroundings wherein the wearer can transfer.

Now, a workforce of researchers led by Hideki Koike at Tokyo Tech current a brand new movement seize system that consists of a single ultra-wide fisheye digital camera mounted on the person’s chest. Their design not solely overcomes the area constraints of current methods however can also be cost-effective.

Named MonoEye, the system can seize the person’s physique movement in addition to the person’s perspective, or ‘viewport’. “Our ultra-wide fisheye lens has a 280-degree field-of-view and it might seize the person’s limbs, face, and the encompassing surroundings,” the researchers say.

To attain strong multimodal movement seize, the system has been designed with three deep neural networks able to estimating 3-D physique pose, head pose and digital camera pose in real-time.

Already, the researchers have skilled these neural networks with an in depth artificial dataset consisting of 680,000 renderings of individuals with a variety of physique shapes, clothes, actions, background and lighting circumstances, in addition to 16,000 frames of photo-realistic photographs.

Some challenges stay, nonetheless, as a result of inevitable area hole between artificial and real-world datasets. The researchers plan to maintain increasing their dataset with extra photo-realistic photographs to assist reduce this hole and enhance accuracy.

The researchers envision that the chest-mounted camera might go on to be reworked into an on a regular basis accent reminiscent of a tie clip, brooch or sports activities gear in future.

The workforce’s work shall be offered on the 33rd ACM Symposium on Person Interface Software program and Expertise (UIST), a number one discussion board for improvements in human–pc interfaces, to be held nearly on 20–23 October 2020.


OpenMonkeyStudio: A deep-learning-based system to estimate 3-D poses of freely moving macaques


Extra info:
Dong-Hyun Hwang et al. MonoEye: Multimodal Human Movement Seize System Utilizing A Single Extremely-Vast Fisheye Digital camera.

Convention. The Affiliation for Computing Equipment (ACM) Symposium on Person Interface Software program and Expertise 2020 (UIST2020) uist.acm.org/uist2020/

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