Systems and associated methods are provided for monitoring a user while operating a computing device and providing active feedback to the user regarding health and safety best practices associated with operating the computing device. The methods comprise obtaining user biometric data; converting the biometric data into actionable instances of health and safety user device operation use cases; and interacting with the user based on the actionable instances in order to improve or remedy any deviations from recommended health and safety user device operation practices.

Methods and systems for controlling access to enterprise resources based on tracking are disclosed. In one implementation, an enterprise security system includes one or more tracking systems, an information technology (IT) system, and a security integration system (SIS). The one or more tracking systems track movement of individuals throughout the enterprise. The SIS blocks access to the computer resources based on the tracked movement of the individuals within the enterprise.

Methods and system for distributed cameras and demographics analysis are disclosed. In one embodiment, the enterprise security system includes a tracking system for tracking individuals within the enterprise, surveillance cameras that capture image data including the individuals within the enterprise, a physical classifier module for determining physical characteristics of the individuals in the image data, and a security integration system for determining whether the tracked individuals match the physical characteristics.

According to one aspect of the disclosure, a method for measuring stress of a subject includes: transmitting, by a sensor, a wireless signal within an environment comprising the subject: measuring reflections of the wireless signal to generate a physiological signal responsive to changes in distance between the subject and the sensor over time: processing the physiological signal to extract feature data of the subject; and providing the feature data as input to a stress classification network to determine a stress level of the subject.