PoWeR and IRL Labs @ Georgia Tech
PIs: Prof. Gregory Sawicki & Prof. Omer Inan
- Thesis Topic: Machine learning implementation towards real-time in-the-loop sensor fusion for optimized gait and joint health
- Aim #1: Real-time implementation of supervised machine learning algorithms for muscle fascicle length measurement from ultrasound with small amounts of data (Published, PLOS ONE)
- Aim #2: Achilles tendon loading measurement via active vibration stimulation and acoustical response as an alternative non-invasive measuring technique to inverse dynamics and musculoskeletal models (Writing Manuscript)
- Aim #3: Real-time gait modulation via biofeedback and exoskeleton assistance given sensor fusion through machine learning looking into under-the-skin measurements (In process, completed pilot studies)
- All towards optimizing and controlling walking dynamics, to improve metabolic cost, patient health, and safety
