# US 2019/0174095 A1 · System and methods for automatic call initiation based on biometric data > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2019/0174095 A1 - Document ID: US20190174095A1 - Status: Published application - Kind: A1 - Application number: 16/164,594 - Filed: 2018-10-18 - Published: 2019-06-06 - Earliest claimed: 2011-09-13 - Assignees: Polycom, Inc. - Applicants: Polycom, Inc. - Inventors: Koby Rosenberg - Web page: https://patentgrep.com/patent/US20190174095A1 ## CPC - H04N 7/15: Conference systems - H04N 7/142: {Constructional details of the terminal equipment, e.g. arrangements of the camera and the display} - H04N 21/25875: {involving end-user authentication (restricting access to computer systems by authenticating users using a predetermined code G06F21/33; arrangements for secret or secure communication including means for verifying the identity or authority of a user of the system H04L9/32; networks authentication protocols H04L63/08; authentication in wireless network security H04W12/06)} - H04N 21/4415: using biometric characteristics of the user, e.g. by voice recognition or fingerprint scanning {(cryptography using biological data H04L9/3231; authentication in networks using biometric H04L63/0861)} - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION ## Abstract A videoconferencing endpoint can provides a caller with the ability to make unscheduled video calls to a callee without having knowledge of dialing information of a videoconferencing endpoint where the callee is currently located. The videoconferencing endpoint searches a location database using an identity of the callee provided by the caller, where the location database can store dialing information of a videoconferencing endpoint where the callee is known to be located. The videoconferencing endpoint can collect biometric data from a user and determine the identity of the user by matching the collected biometric data to biometric data stored in a biometric database. If a match is found, the videoconferencing endpoint updates the location database such that the location database indicates the videoconferencing endpoint as the current location of the user. ## Claims ### Claim 1 (canceled) ### Claim 2 A method comprising: storing a first biometric data set corresponding to a first user identity, the first user identity associated with a first conferencing endpoint; storing a second biometric data set corresponding to a second user identity, the second user identity associated with a second conferencing endpoint; capturing a third biometric data set at the first conferencing endpoint; performing a comparison between the third biometric data set and the first biometric data set; receiving a request at the first conferencing endpoint to place a call directed to the second user identity; and calling the second conferencing endpoint using the first conferencing endpoint based, at least in part, on the comparison between the third biometric data set and the first biometric data set. ### Claim 3 (depends on 2) The method of claim 2, further comprising: capturing a fourth biometric data set at the second conferencing endpoint; performing a comparison between the fourth biometric data set and the second biometric data set; and enabling the second conferencing endpoint to complete the call based, at least in part, on the comparison between the fourth biometric data set and the second biometric data set. ### Claim 4 (depends on 2) The method of claim 2, wherein storing the first biometric data set and the second biometric data set comprises storing the first biometric data set and the second biometric data set at one or more servers. ### Claim 5 (depends on 2) The method of claim 2, wherein storing the first biometric data set comprises storing the first biometric data set at the first conferencing endpoint and storing the second biometric data set comprises storing the second biometric data set at the second conferencing endpoint. ### Claim 6 (depends on 2) The method of claim 2, wherein performing the comparison between the third biometric data set and the first biometric data set comprises using one or more of kernel class-dependent feature analysis, tensor facial recognition, linear discriminant analysis, Bayesian intrapersonal-extrapersonal classification, and Gabor filter graph matching. ### Claim 7 (depends on 2) The method of claim 2, wherein performing the comparison between the third biometric data set and the first biometric data set comprises using one or more of a hidden Markov model and a Gaussian mixture model. ### Claim 8 (depends on 2) The method of claim 2, wherein capturing the third biometric data set at the first conferencing endpoint comprises at least one of capturing facial information using a video sensor and capturing voice information using an audio sensor. ### Claim 9 (depends on 2) The method of claim 2, wherein at least one of the first conferencing endpoint and the second conferencing endpoint is a video conferencing endpoint. ### Claim 10 (depends on 2) The method of claim 2, wherein receiving a request at the first conferencing endpoint to place the call directed to the second user identity comprises receiving a request at the first conferencing endpoint to place a video call directed to the second user identity. ### Claim 11 One or more non-transitory computer readable media storing instructions executable by one or more processors, the instructions comprising instructions to: store a first biometric data set corresponding to a first user identity, the first user identity associated with a first conferencing endpoint; store a second biometric data set corresponding to a second user identity, the second user identity associated with a second conferencing endpoint; capture a third biometric data set using the first conferencing endpoint; perform a comparison between the third biometric data set and the first biometric data set; receive a request at the first conferencing endpoint to place a call directed to the second user identity; and call the second conferencing endpoint using the first conferencing endpoint based, at least in part, on the comparison between the third biometric data set and the first biometric data set. ### Claim 12 (depends on 11) The one or more non-transitory computer readable media of claim 11, wherein the instructions further comprise instructions to: capture a fourth biometric data set using the second conferencing endpoint; perform a comparison between the fourth biometric data set and the second biometric data set; and enable the second conferencing endpoint to complete the call based, at least in part, on the comparison between the fourth biometric data set and the second biometric data set. ### Claim 13 (depends on 11) The one or more non-transitory computer readable media of claim 11, wherein the instructions to store the first biometric data set and the second biometric data set comprise instructions to store the first biometric data set and the second biometric data set at one or more servers. ### Claim 14 (depends on 11) The one or more non-transitory computer readable media of claim 11, wherein the instructions to store the first biometric data set comprise instructions to store the first biometric data set at the first conferencing endpoint and the instructions to store the second biometric data set comprise the instructions to store the second biometric data set at the second conferencing endpoint. ### Claim 15 (depends on 11) The one or more non-transitory computer readable media of claim 11, wherein the instructions to perform the comparison between the third biometric data set and the first biometric data set comprise instructions to perform one or more of kernel class-dependent feature analysis, tensor facial recognition, linear discriminant analysis, Bayesian intrapersonal-extrapersonal classification, and Gabor filter graph matching. ### Claim 16 (depends on 11) The one or more non-transitory computer readable media of claim 11, wherein the instructions to perform the comparison between the third biometric data set and the first biometric data set comprise instructions to utilize one or more of a hidden Markov model and a Gaussian mixture model. ### Claim 17 (depends on 11) The one or more non-transitory computer readable media of claim 11, wherein the instructions to capture the third biometric data set at the first conferencing endpoint comprise instructions to capture facial information using a video sensor or capture voice information using an audio sensor, or to both capture facial information using a video sensor and capture voice information using an audio sensor. ### Claim 18 (depends on 11) The one or more non-transitory computer readable media of claim 11, wherein the instructions to call the second conferencing endpoint using the first conferencing endpoint based, at least in part, on the comparison between the third biometric data set and the first biometric data set further comprise instructions to: capture a fourth biometric data using a plurality of conferencing endpoints, the fourth biometric data set comprising a fifth biometric data set; determine that the fifth biometric data set corresponds to the second biometric data set; and identify the second conferencing endpoint as that endpoint which captured the fifth biometric data set. ### Claim 19 A teleconferencing system comprising one or more processing units, wherein the one of more processing units are configured to: store a first biometric data set corresponding to a first user identity, the first user identity associated with a first conferencing endpoint; store a second biometric data set corresponding to a second user identity, the second user identity associated with a second conferencing endpoint; prompt capture of a third biometric data set at the first conferencing endpoint; perform a comparison between the third biometric data set and the first biometric data set; receive a request from the first conferencing endpoint to place a call directed to the second user identity; and enable the first conferencing endpoint to call the second conferencing endpoint based, at least in part, on the comparison between the third biometric data set and the first biometric data set. ### Claim 20 (depends on 19) The teleconferencing system of claim 19, wherein the one or more processing units are further configured to: prompt capture of a fourth biometric data set at the second conferencing endpoint; perform a comparison between the fourth biometric data set and the second biometric data set; and enable the second conferencing endpoint to complete the call based, at least in part, on the comparison between the fourth biometric data set and the second biometric data set. ### Claim 21 (depends on 19) The teleconferencing system of claim 19, wherein the one or more processing units are further configured to store the first biometric data set and the second biometric data set at one or more servers.