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# System prepended metadata

title: Resource List

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# Resource List

## Videos
* [Introduction to OpenPose](https://www.youtube.com/watch?v=utz4Ql0CkBE)
* [Human Pose Estimation With Deep Learning](https://www.youtube.com/watch?v=NnzzSkKKoa8)

## Papers/Journals and Articles

### Introductory articles
* [What is pose estimation and Evolution of Pose Estimation Techniques](https://nanonets.com/blog/human-pose-estimation-2d-guide/)

### Pose Esimation
* [OpenPose](https://arxiv.org/pdf/1812.08008.pdf). Openpose's way of doing "bottom up" pose estimation using part affinity fields.
* [Hand Keypoint Detection](https://arxiv.org/abs/1704.07809). This is used by OpenPose when doing Hand Key Point Detection.

### Models for Activity/Gesture Recognition
* [CNN+RNN Depth and Skeleton based Dynamic
Hand Gesture Recognition](https://arxiv.org/pdf/2007.11983.pdf)
* [Spelling It Out: Real–Time ASL Fingerspelling Recognition
](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130290) -> Need IEEE Access, use your unimelb account.
* [LSTM Fully Convolutional Networks for Time Series Classification](https://github.com/chriswegmann/drone_steering/blob/master/docs/paper_lstm_fully_convolutional_networks_for_time_series_classification.pdf)
* [Hidden Markov Model for Gesture Recognition](https://pdfs.semanticscholar.org/1801/67646e8a6c910837b4df26ae8f325cdabb63.pdf)
* [How to Develop 1D Convolutional Neural Network Models for Human Activity Recognition](https://machinelearningmastery.com/cnn-models-for-human-activity-recognition-time-series-classification/)


### Time Series Classification
* [Time Series Classification: Decision Forests and SVM on Interval and DTW Features](https://pdfs.semanticscholar.org/b7a0/7b356853b83b1cf4295e42556dbc6cc3559d.pdf)
* [Deep Learning for Time Series Classification (InceptionTime)](https://towardsdatascience.com/deep-learning-for-time-series-classification-inceptiontime-245703f422db)


### Data Processing
* [Data augmentation using synthetic data for time series classification with deep residual networks](https://github.com/chriswegmann/drone_steering/blob/master/docs/paper_data_augmentation_for_time_series_classification.pdf)

## Related Projects
* [Drone Steering Using Gesture Recognition](https://github.com/chriswegmann/drone_steering/blob/master/docs/documentation_drone_steering.pdf)
    * This is a project done to steer drones using gesture recognition. They used LSTMs as well and have insightful info on how they processed data & trained model.





