Abstract: Privacy-preserving activity monitoring systems and methods are described. In one embodiment, a plurality of sensors is configured for contact-free monitoring of at least one user state. A signal processing module communicatively coupled to the sensors is configured to receive data from the sensors. A first sensor is configured to generate a first set of quantitative data associated with a first user state. A second sensor is configured to generate a second set of quantitative data associated with a second user state. A third sensor is configured to generate a third set of quantitative data associated with a third user state. The signal processing module is configured to process the three sets of quantitative data using a machine learning module, and identify a user activity and detect a condition associated with the user, where no user-identifying information is communicated more than 100 meters to or from the signal processing module.

Abstract: Systems and methods configured to perform monitoring of one or more user activities are described. In one embodiment, a plurality of sensors is configured for contact-free monitoring of at least one bodily function. A signal processing module communicatively coupled to the sensors is configured to receive data from the sensors. A first sensor is configured to generate a first set of quantitative data associated with a user speed and a user position. A second sensor is configured to generate a second set of quantitative data associated with a user action. A third sensor is configured to generate a third set of quantitative data associated with a user movement. The signal processing module is configured to process the three sets of quantitative data using a machine learning module, and identify a user activity and detect a condition associated with the user.