The researchers examined the use of footwear that incorporates force-sensing resistor sensors to classify lower limb disorders affecting the knee, hip, and ankle joints. The outcomes of the study reveal promising findings for future gait analysis and injury diagnosis, and the potential of force-sensing resistors (FSRs) and machine learning techniques for improving the assessment of lower limb injuries, and thereby furthering SDG3.