International Business Machines Corporation

Dean T Brown

Martin G Keen

Hernan A Cunico

David W Messina

A program product for detecting abnormal behavior of users is disclosed. A computer identifies first and second users based on user definitions and at least one personal device associated with the users. Activities of the users are monitored in real time based on the user definitions, location data received over a time series from the personal devices. A proximity distance, between the personal devices over the time series, is identified based on the location data. The computer generates movement patterns for the personal devices over the time series based on the location data and the proximity distance and creates a workflow. The computer compares the current location with the workflow in real time, and detects a deviation from the workflow in response to the comparing the current location in real time. The computer generates an alert in response to the detecting deviation in real time.

Monitoring and alerting a user to variants from predicted patterns based on real time device analysis

Biometric information is monitored for a user. Current activity is identified for the user. The biometric information for the user from an activity tracking device for the user is monitored while a current activity occurs. An alert is generated when the biometric information is out of a desired range for the current activity.

Biometric monitoring system

A method for monitoring biometric information for a user is provided. The method comprises a computer system identifying current activity for the user. The computer system monitors the biometric information for the user from an activity tracking device for the user while a current activity occurs. Finally, the computer system generates an alert when the biometric information is out of a desired range for the current activity.

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San Francisco, CA, United States of America

Dean T Brown