GitHub - sansanketdg/Activity-recognition-using-Wi-Fi-CSI-data: This project involved recognizing activities like falling, running, sitting, walking using Wi-Fi based CSI data in lieu of traditional methods of wearables or cameras. It involved Wi-Fi data processing, feature extraction and creating a trained model for prediction.

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This project involved recognizing activities like falling, running, sitting, walking using Wi-Fi based CSI data in lieu of traditional methods of wearables or cameras. It involved Wi-Fi data processing, feature extraction and creating a trained model for prediction.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.idea		.idea
.ipynb_checkpoints		.ipynb_checkpoints
Activity recognition		Activity recognition
data_2		data_2
6_channel_data_Falling.csv		6_channel_data_Falling.csv
ALL_CHANNEL_FEATURE_Falling.csv		ALL_CHANNEL_FEATURE_Falling.csv
Activity recognition.zip		Activity recognition.zip
ActivityRecognition.ipynb		ActivityRecognition.ipynb
ActivityRecognition.py		ActivityRecognition.py
Falling_1.txt		Falling_1.txt
MutlinomialNB.py		MutlinomialNB.py
Report.docx		Report.docx
SVM.ipynb		SVM.ipynb
SVM.py		SVM.py
SVM_specific_feature_gen.py		SVM_specific_feature_gen.py
activity_recognizer_model.pkl		activity_recognizer_model.pkl
dwt.m		dwt.m
get_channel_info_per_6set.py		get_channel_info_per_6set.py
logistic_regression.py		logistic_regression.py
mainSVM.py		mainSVM.py
new_bcsi_data_read.py		new_bcsi_data_read.py
parse_6_ch_sitting.py		parse_6_ch_sitting.py
parse_6_channel_data.py		parse_6_channel_data.py
predict_activity.py		predict_activity.py
prepareData_SVM.py		prepareData_SVM.py
readData.m		readData.m
read_data.py		read_data.py
revision.csv		revision.csv
rnn.py		rnn.py
sample_data.csv		sample_data.csv
temp.csv		temp.csv
temp.py		temp.py
upload_gdrive.py		upload_gdrive.py