RNN（递归神经网络）模型识别手势绘制5个数字_Jupyter Notebook_Python_下载.zip

# GestureAI [](LICENSE) `GestureAI` is a RNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures(Circl, Rectangle, Triangle, Cross and the other). This dataset of hand-motion drawing 5 figures is sequences of 3-axis accelerations captured by iPhone. Example to implement RNN in Keras gets 90.8% accuracy by Cross-validation. ## Demo Trained Neural Network deployed on [GestureAI-iOS, iOS 11 app using CoreML](https://github.com/akimach/GestureAI-iOS) :  ## Get the Dataset You can use direct links to download the dataset. |Name|Examples|Size|Link|MD5 Checksum| |:-:|:-:|:-:|:-:|:-:| |`gesture-3axis-accel.tar.gz`|1,000|338 KBytes|[Download](https://github.com/akimach/GestureAI/blob/master/datasets/gesture-3axis-accel.tar.gz?raw=true)|`37664771fd60e930033fb24387fb1601 `| ## Labels The dataset consists of 1,000 3-axis acceleration sequences of 5 gesture classes, which are defined by motions drawing 5 figures. We don't set a specific rule about stroke order for drawing a figure by hand. |Label|Description|Examples|Figure| |:-:|:-:|:-:|:-:| |0|Circle|200|| |1|Rectangle|200|| |2|Triangle|200|| |3|Cross|200|| |4|Other|200|| ## Requirement * Python (2.7+) * numpy (1.12.1+) * protobuf (3.1.0+) * Keras (1.2.2) * TensorFlow (1.2.1) * Scikit-learn (0.15+) * coremltools (0.6.3) ## Install ``` $ virtualenv venv $ source venv/bin/activate $ git clone https://github.com/akimach/GestureAI.git $ cd GestureAI $ pip install -r requirements.txt ``` ## Examples Try with Jupyter notebook! * Loading datasets * Tuning hyper-parameters with Grid Search * Training RNN with Early-stopping ## Licence [MIT](https://github.com/akimach/GestureAI/blob/master/LICENSE) ## Author [Akimasa KIMURA](https://github.com/akimach)