wangjinfen

wangjinfen's Stars

• ShivamSrivas/Activity-Recognition-system-based-on-Multisensor-data-fusion-AReM-

  The classification tasks consist in predicting the activity performed by the user from time-series generated by a Wireless Sensor Network (WSN), according to the EvAAL competition technical annex (http://evaal.aaloa.org/).

  Language:Python1

• dky815/GaitRecognization

  Gait recognition and pedestrian classification experiment based on acceleration sensor using GMM-UBM

  Language:Python1

• iamjagdeesh/Gesture-Recognition-System-for-American-Sign-Language

  A system to recognize hand gestures by applying feature extraction, feature selection (PCA) and classification (SVM, decision tree, Neural Network) on the raw data captured by the sensors while performing the gestures.

  Language:MATLAB159

• MadhavShashi/Human-Activity-Recognition-Using-Smartphones-Sensor-DataSet

  Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise and methods from signal processing to correctly engineer features from the raw data in order to fit a machine learning model.

  Language:Jupyter Notebook7124

• rdcolema/tensorflow-image-classification

  CNN for multi-class image recognition in tensorflow

  Language:Jupyter Notebook398192

• huhuapop/MultiLabelClassification

  Maching learning for Multi Label Classification

  Language:Python1

• AmmarMahmoudIbrahiem/Brain-Tumor-Classification-using-maching-learing

  Language:Jupyter Notebook1