ludlows / csi-activity-recognition

Human Activity Recognition using Channel State Information

CSI-Activity-Recognition

Human Activity Recognition using Channel State Information for Wifi Applications

A simple Tensorflow 2.0+ model using Bidirectional LSTM stacked with one Attention Layer.

This code extends the previsous work of paper A Survey on Behaviour Recognition Using WiFi Channel State Information (corresponding code).

Dataset Preparation

Download the public dataset from here.

unzip the Dataset.tar.gz by the following command:

tar -xzvf Dataset.tar.gz

Inside the dataset, there are 7 different human activities: bed, fall, pickup, run, sitdown, standup and walk.

Requirements

Numpy

Tensorflow 2.0+

sklearn

Performance of the Model with Default Parameters

Default Parameters

Parameters for Batching Sequence	Value
window length	1000
Sliding Steps	200
Downsample Factor	2
Activity Present Threshold	0.6 (60%)

Parameters for Deep Learning Model	Value
# of units in Bidirectional LSTM	200
# of units in Attention Hidden State	400
Batch Size	128
Learning Rate	1e-4
Optimizer	Adam
# of Epochs	60

Model Architecture

Confusion Matrix

Label	Accuracy
bed	100%
fall	97.18%
pickup	98.68%
run	100%
sitdown	95%
standup	95.56%
walk	99.51%

Usage

Download the code from github.

git clone https://github.com/ludlows/CSI-Activity-Recognition.git 

Enter the code folder.

cd CSI-Activity-Recognition

Run The Model with Default Parameters

python csimodel.py your_raw_Dataset_folder

Meanwhile, you could also modify the parameters in the csimodel.py or change the architectures of neural networks.

This code could be a starting point for your deep learning project using Channel State Information.

csi-activity-recognition's Issues

data

Is this the same data as was used in the paper "A Survey on Behavior Recognition Using WiFi Channel State Information"? The methods used in that paper were sketchy. Have you used identical methods?

哈喽

哈喽 有你这篇论文链接吗

help for codes

Thanks for sharing this project, this is great!
I have a question: What part of this paper"A Survey on Behaviour Recognition Using WiFi Channel State Information" has your code modified?