Methodology based on the use of smartphones for kinematic analysis of wheelchairs in a curvilinear path
In Brazil, according to the 2010 IBGE census, about 4.4 million people had some type of motor disability and needed some kind of assistive device, such as a manual wheelchair. Easy access models cause discomfort and require repetitive efforts, which can cause fatigue and muscle injuries. Thus, in order to favor the optimization of the use and performance of wheelchairs, several studies have been carried out studying patterns of speed and effort in the use of wheelchairs. However, most of the studies are carried out on straight paths only, using computer simulations or dedicated sensors. Dedicated sensors are out of reach for most of the community, especially therapists who want to do an assessment of their patients. Therefore, in order to enable a more accessible investigation, this work aims to develop a methodology for kinematic analysis in a wheelchair through the use of smartphones. Two different smartphones will be used to capture angular velocity data, in different curvature patterns (path around an 8, rotation around its own axis, curve in 90º and open curve). Preliminary results showed that it is feasible to use smartphones to capture wheel angular velocity data. In tests with aligned and misaligned smartphones, no significant differences were identified in the measured data. In the preliminary tests carried out with different trajectories, it is noted that the noise of the sensor is a factor that requires attention in the analysis, demanding its careful quantification and calibration of the smartphone, as well as the use of digital filters in the data processing. In addition, due to the absence of a mechanism for the simultaneous activation of smartphones, there is a time lag between the signals that must be treated numerically to synchronize the data.