Wearable step counting using a force myography-based ankle strap:

摘要

IntroductionStep counting can be used to estimate the activity level of people in daily life; however, commercially available accelerometer-based step counters have shown inaccuracies in detection of low-speed walking steps (2.2?km/h), and thus are not suitable for older adults who usually walk at low speeds. This proof-of-concept study explores the feasibility of using force myography recorded at the ankle to detect low-speed steps.MethodsEight young healthy participants walked on a treadmill at three speeds (1, 1.5, and 2.0?km/h) while their force myography signals were recorded at the ankle using a customized strap embedded with an array of eight force-sensing resistors. A K-nearest neighbour model was trained and tested with the recorded data. Additional three mainstream machine learning algorithms were also employed to evaluate the performance of force myography band as a pedometer.ResultsResults showed a low error rate of the step detection (1.5%) at all three walking speeds.ConclusionsThis study ...