Comments (1)
yscacaca
commented on July 18, 2024
1
The code for CarTrack is quite similar to the HHAR code.
There are two main differences:
- CarTrack requires three sensor inputs (accelerometer, gyroscope, and magnetometer), while HHAR requires only two.
- The training objective functions for two tasks are different.
You can write CarTrack based on the HHAR code.
Please feel free to open issues for the questions that you may have.
from deepsense.
Related Issues (20)
- Batch Normalization when training with Multi GPU settings HOT 2
- Did you update the moving averages when taking the batch norm ? HOT 2
- Parameters about the ""
- Parameters about the "layers.batch_norm" function you used in : Does they have an impact on the overall result ? HOT 1
- how to work with the dynamic length of sensor readings ? HOT 3
- Deploying on Android HOT 8
- more details on preprocessing HOT 1
- Error executing tf.train.shuffle_batch HOT 2
- No OpKernel 'All'
- Why is CONV_MERGE_LEN = 8?
- input data HOT 8
- questions about the neural network architecture
- Can anyone share me the code for GAIT ANALYSIS.?
- problem with plot.py
- Data pre processing about car track problem
- HHAR Preprocess: Doubts on the length of time interval on preprocessing code
- Deploying on Android
- The SADeepSense Code
- OutOfRangeError
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