Communication management utilizing destination device user presence probability
First Claim
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1. A method implemented by a destination device comprising:
- receiving, by the destination device, one or more signals from a network device, the one or more signals comprising a request for a user presence probability value of a designated user;
detecting, via use of one or more sensors of the destination device, user-specific characteristics of a detected user, the user-specific characteristics comprising blood pressure, skin conductivity, electro-encephalograph measurements (EEG), one or more fingerprints, one or more facial features, voice recognition, or any combination thereof;
determining, by the destination device, a measured user-specific characteristic profile based, at least in part, on the user-specific characteristics of the detected user;
comparing, by the destination device, the measured user-specific characteristic profile to a stored user-specific characteristic profile to determine a characteristic-specific user presence probability value, wherein the comparing comprises determining a measure of closeness between the measured user-specific characteristic profile and the stored user-specific characteristic profile;
determining, by the destination device, the user presence probability value based at least in part on the characteristic-specific user presence probability value, the user presence probability value indicating a probability that the detected user is the designated user; and
transmitting, by the destination device, one or more signals comprising the user presence probability value to the network device.
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Abstract
An apparatus, system and method for forwarding a communication from a communication receiving device to a destination device based upon the identity of the user of the destination device.
50 Citations
51 Claims
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1. A method implemented by a destination device comprising:
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receiving, by the destination device, one or more signals from a network device, the one or more signals comprising a request for a user presence probability value of a designated user; detecting, via use of one or more sensors of the destination device, user-specific characteristics of a detected user, the user-specific characteristics comprising blood pressure, skin conductivity, electro-encephalograph measurements (EEG), one or more fingerprints, one or more facial features, voice recognition, or any combination thereof; determining, by the destination device, a measured user-specific characteristic profile based, at least in part, on the user-specific characteristics of the detected user; comparing, by the destination device, the measured user-specific characteristic profile to a stored user-specific characteristic profile to determine a characteristic-specific user presence probability value, wherein the comparing comprises determining a measure of closeness between the measured user-specific characteristic profile and the stored user-specific characteristic profile; determining, by the destination device, the user presence probability value based at least in part on the characteristic-specific user presence probability value, the user presence probability value indicating a probability that the detected user is the designated user; and transmitting, by the destination device, one or more signals comprising the user presence probability value to the network device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. An apparatus comprising:
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a transceiver to receive one or more signals from a network device, the one or more signals comprising a request for the user presence probability value; and a processor configured to, at least partially in response to receipt of one or more signals comprising the request; determine a measured user-specific characteristic profile based, at least in part, user-specific characteristics of a detected user, wherein the user-specific characteristics are detected by the apparatus via use of one or more sensors of the apparatus, the user-specific characteristics comprising blood pressure, skin conductivity, electro-encephalograph measurements (EEG), one or more fingerprints, one or more facial features, voice recognition, or any combination thereof; compare the measured user-specific characteristic profile to a stored user-specific characteristic profile to determine a characteristic-specific user presence probability value, wherein the comparison comprises a determination of a measure of closeness between the measured user-specific characteristic profile and the stored user-specific characteristic profile; determine a user presence probability value based at least in part on the characteristic-specific user presence probability value, the user presence probability value indicating a probability that the detected user is the designated user. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28, 29)
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30. An apparatus comprising:
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means for receiving one or more signals from a network device, the one or more signals comprising a request for a user presence probability value of a designated user; means for determining a measured user-specific characteristic profile based, at least in part, on user-specific characteristics of a detected user, wherein the user-specific characteristics are detected by the apparatus via use of one or more sensors of the apparatus, the user-specific characteristics comprising blood pressure, skin conductivity, electro-encephalograph measurements (EEG), one or more fingerprints, one or more facial features, voice recognition, or any combination thereof; means for comparing the measured user-specific characteristic profile to a stored user-specific characteristic profile to determine a characteristic-specific user presence probability value based at least in part on the characteristic-specific user presence probability value, wherein the comparing comprises determining a measure of closeness between the measured user-specific characteristic profile and the stored user-specific characteristic profile; means for determining the user presence probability value, the user presence probability value indicating a probability that the detected user is the designated user; and means for initiating transmission of one or more signals comprising the user presence probability value to the network device. - View Dependent Claims (31, 32, 33, 34, 35, 36, 37, 38, 39, 40)
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41. A non-transitory computer-readable storage medium comprising program code executable by one or more processors to:
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process a received request for a user presence probability value of a designated user received via one or more signal transmitted by a network device; determine a measured user-specific characteristic profile based, at least in part, on user-specific characteristics of a detected user, wherein the user-specific characteristics are detected by a destination device via use of one or more sensors of the destination device, the user-specific characteristics comprising blood pressure, skin conductivity, electro-encephalograph measurements (EEG), one or more fingerprints, one or more facial features, voice recognition, or any combination thereof; compare the measured user-specific characteristic profile to a stored user-specific characteristic profile to determine a characteristic-specific user presence probability based at least in part on the characteristic-specific user presence probability value, wherein the comparison comprises a determination of a measure of closeness between the measured user-specific characteristic profile and the stored user-specific characteristic profile; determine the user presence probability value, the user presence probability value indicating a probability that the detected user is the designated user; and initiate transmission of one or more signals comprising the user presence probability value to the network device. - View Dependent Claims (42, 43, 44, 45, 46, 47, 48, 49, 50, 51)
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Specification