nisarnabeel/multi-modal-pose-estimation-CSI-mmWave
This refers to the paper multi-modal pose estimation in XR applications leveraging ISAC
This dataset provides synchronized radar (mmWave), Wi-Fi signal (CSI), and human skeleton data, which are crucial for developing and testing accurate human pose estimation systems in virtual and augmented reality. Researchers and developers working on XR applications or human-computer interaction can use this data to train and evaluate algorithms that interpret body movements.
Use this if you are developing or researching advanced pose estimation techniques for extended reality (XR) applications and need diverse, synchronized sensor data to train your models.
Not ideal if you need a plug-and-play solution for pose estimation rather than raw data for research and development.
Stars
10
Forks
1
Language
—
License
—
Category
Last pushed
Oct 17, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/nisarnabeel/multi-modal-pose-estimation-CSI-mmWave"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NVlabs/sionna
Sionna: An Open-Source Library for Research on Communication Systems
utcsilab/score-based-channels
Source code for paper "MIMO Channel Estimation using Score-Based Generative Models", published...
lab-emi/OpenDPD
OpenDPD is an end-to-end learning framework built in PyTorch for power amplifier (PA) modeling...
DeepMIMO/DeepMIMO
DeepMIMOv4: A Toolchain and Database for Ray-tracing Datasets.
NVlabs/neural_rx
Real-Time Inference of 5G NR Multi-user MIMO Neural Receivers