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Published 20 hours ago • verified publisher icon FIGLAB
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Code for IMUPoser: Full-Body Pose Estimation using IMUs in Phones, Watches, and Earbuds

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Mobile/Desktop App for realtime inference

Great work. are you making the inference app open source? how you have deployed your trained model in iPhone? is it in Apple store? thanks

mafaisalpg avatar mafaisalpg

how to get the data of devices

I'm very interested in your article where you used three types of devices - a phone, a watch, and earbuds to reconstruct human motion. But I have not found any...

LannnSun avatar LannnSun

When will the dataset be released?

This work is very cool and could be influential for future researchers. Releasing the dataset promptly could potentially increase the citation count for this paper.

cheng-haha avatar cheng-haha

Missing BioMotionLab_NTroje from AMASS Dataset

```BioMotionLab_NTroje``` is missing from the current AMASS dataset download website (https://amass.is.tue.mpg.de/download.php). Would that be fine? Or it is not a big issue that the model may have less training data...

bryanbocao avatar bryanbocao

Trained Model

Hi, Thanks for the great work! I am wondering if can we get access to the pre-trained model.

ArmastusChen avatar ArmastusChen

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verified publisher icon FIGLAB

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Code for IMUPoser: Full-Body Pose Estimation using IMUs in Phones, Watches, and Earbuds

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