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mobile motion captureNorthwestern Now
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84% Informative
A new system for full-body motion capture doesn’t require expensive equipment or bulky cameras.
Called MobilePoser , the new system leverages sensors already embedded within consumer mobile devices.
Using a combination of sensor data, machine learning and physics, the system accurately tracks a person’s full body pose and global translation in space in real time.
Ahuja ’s team has released its pre-trained models, data pre-processing scripts and model training code as open-source software.
He says the app will soon be available for iPhone, AirPods and Apple Watch .
“We would like phones to become more than just intelligent step counters. A phone should be able to detect different activities, determine your poses and be a more proactive assistant”.
VR Score
82
Informative language
80
Neutral language
51
Article tone
semi-formal
Language
English
Language complexity
66
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
5
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