September 10, 2025ElectronicsOpen Access

Upper Limb Joint Angle Estimation Using a Reduced Number of IMU Sensors and Recurrent Neural Networks

View Full Paper

Ask AI

Bookmark

Authors

Discussion

Deep learning approaches estimate joint angles in rehabilitation using only three IMUs, suggesting scalability for wearable systems.

Joint angle estimation using only three inertial measurement units demonstrates promising results.
The CNN-LSTM model showed lower Mean Absolute Error than the BLSTM model during testing.
The study employed recurrent neural networks to enhance the accuracy of the joint angle predictions.
Findings indicate the potential to develop effective wearable systems for biomechanics and rehabilitation.

Niño-Tejada et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark