# US 2014/0157401 A1 · Method of Dynamically Adjusting an Authentication Sensor > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2014/0157401 A1 - Document ID: US20140157401A1 - Status: Published application - Kind: A1 - Application number: 13/726,750 - Filed: 2012-12-26 - Published: 2014-06-05 - Earliest claimed: 2012-11-30 - Assignees: Motorola Mobility LLC - Applicants: Motorola Mobility LLC - Inventors: Rachid M. Alameh; Jiri Slaby - Web page: https://patentgrep.com/patent/US20140157401A1 ## CPC - G06F 21/45: Structures or tools for the administration of authentication - G06F 21/31: User authentication - G06F 21/316: {by observing the pattern of computer usage, e.g. typical user behaviour} - G06F 21/32: using biometric data, e.g. fingerprints, iris scans or voiceprints - H04L 63/0861: {using biometrical features, e.g. fingerprint, retina-scan (cryptographic mechanisms or cryptographic arrangements for entity authentication using biological data H04L9/3231)} - H04L 63/105: {Multiple levels of security} - H04W 12/06: Authentication - G06F 2221/2113: Multi-level security, e.g. mandatory access control - H04L 2463/082: applying multi-factor authentication - H04W 12/67: Risk-dependent, e.g. selecting a security level depending on risk profiles - H04W 88/02: Terminal devices - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## Abstract A method is disclosed herein for employing detected device context, user history, and inferred identity to cause biometric sensors identification levels to automatically adjust to reduce device access time, computational complexity, and power. ## Claims ### Claim 1 A method for adjusting security levels for an electronic device based on confidence measurements, comprising: monitoring contextual inputs from selectable contextual sensors communicatively coupled to the electronic device; measuring a likelihood of an authorized user providing the user inputs; establishing a confidence parameter for an authorized user; and dynamically adjusting a security level for access to the electronic device based on the confidence parameter. ### Claim 2 (depends on 1) The method claimed in claim 1, further comprising prioritizing a subset of authentication sensors based on device context. ### Claim 3 (depends on 1) The method claimed in claim 1, further comprising dynamically adjusting the confidence parameters based on differing device applications and their corresponding security needs. ### Claim 4 (depends on 1) The method claimed in claim 1, wherein device context is at least one of a contextual detection mode including illumination, motion, weather, ambient noise, moisture, time of day, calendar/events, social network downloads, ambient temperature, elevation, location, speed, and obstructing clothing. ### Claim 5 (depends on 4) The method claimed in claim 4, further comprising developing a user history profile from one or more contextual detection modes. ### Claim 6 (depends on 1) The method claimed in claim 1, further comprising dynamically lowering sensors' security level for access to the electronic device independently based on device context. ### Claim 7 (depends on 6) The method claimed in claim 6, wherein at least one sensor is lowered to a different security than the other sensor. ### Claim 8 (depends on 1) The method claimed in claim 1, further comprising dynamically adjusting security level access based on context and data transmission. ### Claim 9 A computing device enabled for reduction of false authorization rejections, comprising: a housing; a controller within said housing of the computing device for dynamically adjusting a security level access to the computing device based on confidence parameter developed from the computing device context; a context sensor configured for analysis by the processor; an authentication sensor and algorithm selectable by the processor based on detected context from the context sensor so that the authentication sensor is activated for user identity determination or device level access; and a power module configured to provide power to the computing device, context sensor, and the authentication sensor. ### Claim 13 (depends on 11) The computing device according to claim 11 further comprising selection of the authentication sensor by the processor based on the authentication's sensor's estimated impact on at least one of the following: power savings, processor computational effort, and computing device operation. ### Claim 14 (depends on 11) The computing device according to claim 11, wherein the detected context is at least one of a contextual detection mode including illumination, time of day, calendar/event, motion, weather, ambient noise, moisture, ambient temperature, elevation, location, speed, historical user profile, and obstructing clothing. ### Claim 15 (depends on 14) The computing device according to claim 14 further comprising the controller configured to dynamically adjust the security level access with additional criteria comprised of a match of a calendar event to a location. ### Claim 16 (depends on 4) The method of claim 4 further comprising: matching a calendar event to a location as additional criteria for dynamically adjusting the security level access. ### Claim 17 (depends on 1) The method of claim 1, further comprising: overriding device context based on device operational mode and/or application.