Gait analysis using Gravity-Center Fluctuation of the sole at walking based on Self-Organizing Map

Abnormal Gait Detection Using Wearable Hall-Effect Sensors

“…The feasibility of the leg-mounted Hall-effect wearable has been demonstrated for differentiating two types of abnormal gait (fast, slow) and two types of irregular gait (right antalgic, left antalgic) from normal gait. Such functionality is similar to other efforts ( Table 2 ) which have successfully distinguished normal gait from that experienced by individuals recovering from knee surgery [ 37 ], suffering from Parkinson’s disease [ 19 , 39 , 49 ] or cerebrospinal meningitis [ 30 ], living with diabetes [ 48 ], or exercising simulated gait disturbances including obstacle courses [ 45 ] and toe joint restrictions [ 31 ]. Beyond this basic functionality, however, the Hall-effect approach offers some advantages and poses some disadvantages compared to existing systems.…”

“…These myriad sensors have been applied to the measurement of both temporal and spatial gait parameters achieving accuracies on the order of cm and sub-cm for spatial parameters (e.g., stride length, stride width, toe and heel position) and millisecond accuracy for temporal parameters (e.g., gait speed, cadence). Furthermore, a number of wearable sensors have also been demonstrated specifically for differentiating abnormal gait from normal gait (Table 2) with applications ranging from monitoring patients with Parkinson's disease [19] to recovery and rehabilitation from knee surgery [37]. While the research and development space for wearable gait monitoring sensors may seem crowded, human gait is complex and multi-faceted, which leaves ample opportunity for other wearables to address gaps that remain in the literature.…”