@lmbethz
Laboratory for Movement Biomechanics, ETH Zürich
1 year
📢 Exciting News! Our latest paper on using wearable IMUs + deep learning (CNN, TCN) for gait analysis is out in IEEE Sensors! https://t.co/YwkfGacPyO #WearableTech #DeepLearning #GaitAnalysis #IEEE
1
2
3

Replies

@lmbethz
Laboratory for Movement Biomechanics, ETH Zürich
1 year
💡 Key Findings: • TCN models excelled, with head sensors scoring 95.9% F1 in young adults & 93.8% in older adults. • Temporal error analysis: TCN consistently had lower standard error across placements.
1
0
0
@lmbethz
Laboratory for Movement Biomechanics, ETH Zürich
1 year
This research highlights TCN’s robustness in real-world, wearable-based gait detection! Thanks to my co-authors, reviewers & editors for their support 🙏
1
0
1
@lmbethz
Laboratory for Movement Biomechanics, ETH Zürich
1 year
0
1
0