An Android-based application for digital gait performance analysis and rehabilitation

This paper presents an Android application supporting digital analysis of human gait patterns in a far more flexible way. The application uses the Bluetooth connection and a Shimmer 2R sensor to receive the raw accelerometer signals from typical and atypical gait, followed by a real-time data processing and monitoring to assess the gait quality. On the whole, 7 features per acceleration direction are made available for users. The range of features can be easily redefined and adjusted for the application in diverse type of gait/limb impairments. The user can choose a variety of features, allowing to determine gait abnormalities, quantify gait and walking performance and display them on the screen. The outcomes can be saved on the device or transmitted to treating physicians for a later control of the subject´s improvements and the efficiency of physiotherapy treatments in motor rehabilitation. The proposed software solution bears a great potential to be commercialized and deployed to support digital healthcare and therapy.