Illustrated portrait
MASc thesis defended · 17 September 2026
Liam McPherson
Liam successfully defended his MASc thesis on sensor-based activity classification and functional capacity assessment after total hip arthroplasty on 17 September 2026.
- Program
- MASc
- Department
- Mechanical Engineering
- Supervision
- Leonard MacEachern
- Co-supervision
- Andrew Speirs, Mechanical Engineering
- Last updated
- 20 September 2026
Completed research in MOSAIC
The connected research tiles
Completed thesis
Liam successfully defended his MASc thesis, Sensor Based Activity Classification and Functional Capacity Assessment After Total Hip Arthroplasty, on 17 September 2026. His research was jointly supervised by Leonard MacEachern and Andrew Speirs in Mechanical Engineering.
The project used five inertial measurement units placed on the pelvis, thighs, and shanks to classify nine activities and assess functional recovery after total hip arthroplasty. The activity-recognition pipeline combined XGBoost with domain-informed probability gates and Viterbi decoding, connecting sensor measurements to temporally consistent activity labels.
Research context
The work formed part of the group’s wearable and body-signal research, connecting physical movement, inertial sensing, time-series representation, and interpretation of human motion.
Place in MOSAIC
Liam’s completed research connects sensing, observation, and intelligent signal interpretation. His profile remains part of the group’s research record.