However, for uphill walking, both groups decreased stride Significantly different with a speed covariate. Spatial and range-of-motion parameters between fixed and self-paced speed conditions were no longer TT also reduced speed downhill (p < 0.001). Compared to level walking, participants reduced speed for uphill and hillyĪctivities (p < 0.001). Within the self-paced condition, all participants significantly varied walking speed (p < 0.001) acrossĭifferent walking activities. Temporal–spatial and range-of-motion parameters were analyzed. Walked in a park-like virtual environment with level, slopes, and simulated uneven terrain scenarios. Twelve able-bodied (AB) individuals and 12 individuals with unilateral transtibial amputation (TT) This research examined walking speed changes forĪble-bodied and transtibial amputee populations on a self-paced treadmill in a multi-terrain virtualĮnvironment and examined gait differences between fixed and self-paced treadmill speed conditions. The WMMS demonstrated good potential for community mobility monitoring.Ī self-paced treadmill automatically adjusts speed in real-time to match the user’s walking speed, potentiallyĮnabling more natural gait than fixed-speed treadmills. System performance was evaluated by its ability to detect changes of state and the ability to identify context from the photographs. Validation of the proposed WMMS was performed with five able-bodied subjects performing a structured sequence of mobility tasks. These photographs were used to identify the context of mobility events (i.e., using an elevator, walking up/down stairs, and type of walking surface). The WMMS was designed to monitor a user’s mobility state and to take a photograph when a change of state was detected. The wearable system is freely worn on a person’s belt, such as a normal phone. This prototype WMMS was created using a smart phone-based approach that allowed for an all-in-one WMMS. This paper introduces a novel wearable mobility monitoring system (WMMS) for an objective ubiquitous measurement of mobility. This profile would include the environment and context in which the mobility takes place. Ideally, a person’s mobility profile in a nonclinical setting, such as the home or community, could be obtained. Understanding mobility is important for effective clinical decision making in the area of physical rehabilitation.
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