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the dataset for article Gesture Recognition Using MIMO Radar Point Clouds with Targeted Signal Processing for Resource-Limited Platforms
- Citation Author(s):
-
JiayuChen
Xidian University - Submitted by:
- Jiayu Chen
- Last updated:
- Wed, 10/23/2024 - 22:12
- DOI:
- 10.21227/em75-vk39
- Data Format:
- License:
160 Views- Categories:
- Keywords:
Abstract
This is the millimeter wave radar gesture recognition gesture dataset corresponding to paper <Gesture Recognition Using MIMO Radar Point Clouds with Targeted Signal Processing for Resource-Limited Platforms>. The file is stored in the. npy format of the numpy library in Python. It contains 4 gestures and 1 unrelated set of data, with a total of 5 categories. There are a total of 6000 pieces of data in each category, and each piece of raw data is packaged in a compressed package. The output screenshot of the script shows the details. Other information such as the training result can be viewed in the corresponding paper.
in python run:
import numpy as np
TIME_LEN = 20
FEA_NUM = 8
x_train = np.load("./train.npy").reshape([-1, TIME_LEN, FEA_NUM, 1])
y_train = np.load("./ans.npy")
the shape of the x_train and y_train can be seen in the picture
