Abstract: Methods, computer readable media, and apparatuses for building data models and performing model-based analytics are presented. A data analytics system may be implemented including software components to provide a data analytics platform and/or a data analytics programming interface. The components of the data analytics system may allow users to create and execute software applications to build data models model-based analytics functionality such as classification and prediction. For example, a programming interface may allow users to build data models of various predetermined model types, such as statistical data models, spatial statistical data models, graphical data models, pattern mining data models, clustering data models, and machine learning data models, among others, based on an input data set. A parallel computing infrastructure, for example, a cloud computing environment, may be used to build data models and perform model-based analytics with distributed processing and distributed storage.

Abstract: Methods, computer readable media, and apparatuses for building data models and performing model-based analytics are presented. A data analytics system may be implemented including software components to provide a data analytics platform and/or a data analytics programming interface. The components of the data analytics system may allow users to create and execute software applications to build data models model-based analytics functionality such as classification and prediction. For example, a programming interface may allow users to build data models of various predetermined model types, such as statistical data models, spatial statistical data models, graphical data models, pattern mining data models, clustering data models, and machine learning data models, among others, based on an input data set. A parallel computing infrastructure, for example, a cloud computing environment, may be used to build data models and perform model-based analytics with distributed processing and distributed storage.

Abstract: Various implementations are disclosed for an instrumented mobility assistance device, such as an instrumented walker. The device includes an attached sensor that is operable to convert an operational action of a user of the mobility assistance device into a sensor signal. A use analyzer is operable to relate the sensor signal to a contact attribute associated with a contact of the user of the mobility assistance device with an underlying surface. The use analyzer is further operable to determine a gait characteristic of the user, based on the contact attribute. The sensor may include a force or moment sensor. The contact attribute may include a foot-initial contact, or a foot-off contact. In this way, gait characteristics of the user may be determined during normal operation of the instrumented device. Also, the sensor may be used to determine a stability measure associated with the device.