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NEURHA:
Signal Processing Platform
Platform includes Model Zoo for wearables ML tasks that allows to get a production-ready solution
in several days
Flexible
signal processing methods allow to get data- and human-specific solutions
Better and faster decision making in processes based on activity and sequences of activity analytics
Improving
user experience
while product usage by integrating wearables-processing features
BUSINESS CASES
HAR, gestures recognition by wearables signal
PDR in navigation and SLAM for position tracking
Vibration diagnostics and anomalies search
Forecasting of business indicators and metrics
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SOLVING METHODS
Signal Segmentation, Classification, Regression, Clustering for IMU, PPG, other wearables
Signal augmentation and labeling
Transfer learning in signal processing problem statements: decoding, segmentation..
Physical & technical models for models accuracy improvement and decreasing of model size
EXPERIENCE & EXAMPLES
PDR Model
for Smartphone-based inertial navigation
Clients Cases
Neurha Platform
PPG Model
for Smartwatch-based human activities predictions and blood pressure prediction
Clients Cases
Neurha Platform
IMU Signal segmentation
for Smartwatch food amount control
Clients Cases
Neurha Platform
Anomalies detection in signal
for identification abnormal equipment operations
Clients Cases
Neurha Platform
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