DETECTING DEPRESSION VIA MOBILE DEVICE DATA
First Claim
1. A method for detecting a likelihood of depression of a user, comprising:
- determining, by a processor, a calling pattern of a mobile device of the user during a first time period;
determining, by the processor, a mobility pattern of the mobile device of the user during the first time period;
detecting, by the processor, the likelihood of depression when the calling pattern of the mobile device during the first time period is indicative of a decline in communications as compared to a reference calling pattern and when the mobility pattern of the mobile device during the first time period is indicative of a decline in movement as compared to a reference mobility pattern; and
generating, by the processor, a warning message when the likelihood of depression is detected.
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Accused Products
Abstract
A method, computer-readable medium, and apparatus for detecting a likelihood of depression of a user are disclosed. A method includes a processor for determining a calling pattern and a mobility pattern of a mobile device of the user during a first time period, detecting a likelihood of depression when the calling pattern of the mobile device during the first time period is indicative of a decline in communications as compared to a reference calling pattern and when the mobility pattern of the mobile device during the first time period is indicative of a decline in movement as compared to a reference mobility pattern, and generating a warning message when the likelihood of depression is detected.
25 Citations
20 Claims
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1. A method for detecting a likelihood of depression of a user, comprising:
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determining, by a processor, a calling pattern of a mobile device of the user during a first time period; determining, by the processor, a mobility pattern of the mobile device of the user during the first time period; detecting, by the processor, the likelihood of depression when the calling pattern of the mobile device during the first time period is indicative of a decline in communications as compared to a reference calling pattern and when the mobility pattern of the mobile device during the first time period is indicative of a decline in movement as compared to a reference mobility pattern; and generating, by the processor, a warning message when the likelihood of depression is detected. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A tangible computer-readable medium storing instructions which, when executed by a processor, cause the processor to perform operations for detecting a likelihood of depression of a user, the operations comprising:
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determining a calling pattern of a mobile device of the user during a first time period; determining a mobility pattern of the mobile device of the user during the first time period; detecting the likelihood of depression when the calling pattern of the mobile device during the first time period is indicative of a decline in communications as compared to a reference calling pattern and when the mobility pattern of the mobile device during the first time period is indicative of a decline in movement as compared to a reference mobility pattern; and generating a warning message when the likelihood of depression is detected. - View Dependent Claims (18)
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19. A device for detecting a likelihood of depression of a user, comprising:
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a processor; and a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations, the operations comprising; determining a calling pattern of a mobile device of the user during a first time period; determining a mobility pattern of the mobile device of the user during the first time period; detecting the likelihood of depression when the calling pattern of the mobile device during the first time period is indicative of a decline in communications as compared to a reference calling pattern and when the mobility pattern of the mobile device during the first time period is indicative of a decline in movement as compared to a reference mobility pattern; and generating a warning message when the likelihood of depression is detected. - View Dependent Claims (20)
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Specification