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Northwestern Now

Northwestern Now

New app performs real-time, full-body motion capture with a mobile device

Northwestern Now
Summary
Nutrition label

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

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