# US 8,784,309 B2 · Sensor fusion for activity identification > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 8,784,309 B2 - Document ID: US8784309B2 - Status: Granted - Kind: B2 - Application number: 14/061,701 - Filed: 2013-10-23 - Published: 2014-02-13 - Granted: 2014-07-22 - Earliest claimed: 2008-08-29 - Assignees: DP Technologies, Inc. - Applicants: Philippe Richard Kahn; Arthur Kinsolving; Mark Andrew Christensen; Brian Y. Lee; David Vogel - Inventors: Philippe Richard Kahn; Arthur Kinsolving; Mark Andrew Christensen; Brian Y. Lee; David Vogel - Web page: https://patentgrep.com/patent/US8784309B2 ## CPC - A61B 5/1118: {Determining activity level} - A61B 5/0022: {Monitoring a patient using a global network, e.g. telephone networks, internet} - A61B 5/1038: {Measuring plantar pressure during gait} - A61B 5/1112: {Global tracking of patients, e.g. by using GPS} - A61B 5/1113: {Local tracking of patients, e.g. in a hospital or private home} - A61B 5/1123: {Discriminating type of movement, e.g. walking or running (A61B5/1116, A61B5/112 take precedence)} - A61B 5/4866: {Evaluating metabolism (using breath test A61B5/083)} - A61B 5/6898: {Portable consumer electronic devices, e.g. music players, telephones, tablet computers} - A61B 5/7221: {Determining signal validity, reliability or quality (preventing, reducing or removing noise induced by motion artefacts A61B5/7207; noise originating from a therapeutic or surgical apparatus A61B5/7217)} - A61B 5/7278: {Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals} - G01S 19/49: whereby the further system is an inertial position system, e.g. loosely-coupled - G16H 40/67: for remote operation - A61B 2562/0219: Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches - A61B 2562/08: Sensors provided with means for identification, e.g. barcodes or memory chips - Y10S 482/901: having computer circuitry - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G01S: RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA - Y10S: TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS ## Abstract A mobile device monitors accelerations using one or more inertial sensors. A user activity is identified based on the accelerations. A first estimation is made of a user activity statistic associated with the user activity based on the accelerations. Location information is obtained by one or more location based sensors. A second estimation is made of the user activity statistic based on the location information. The user activity statistic is calculated based on the first estimation and the second estimation. ## Claims ### Claim 1 An mobile device to monitor human activity using multiple sensors comprising: a plurality of sensors; a dedicated processing unit receiving data from the plurality of sensors, the dedicated processing unit to process sensor data, the dedicated processing unit further comprising a calculating logic to compare a first estimation of a user activity statistic based on data from a first sensor with a second estimation of a user activity statistic based on data from a second sensor, to calculate a first accuracy of the first estimation and a second accuracy of the second estimation, and to calculate the user activity statistic based on the first estimation and the second estimation, wherein the calculated user activity statistic is a result of a weighted combination of the first estimation and the second estimation based on the first accuracy and the second accuracy; and a central processing unit to perform functions in the mobile device. ### Claim 2 (depends on 1) The mobile device of claim 1, further comprising: a transmission system to transmit at least a subset of the data from the plurality of sensors to an external computing device, to generate the user activity statistic. ### Claim 3 (depends on 2) The mobile device of claim 2, wherein the subset of the data is transmitted to the external computing device after the user activity ends. ### Claim 4 (depends on 2) The mobile device of claim 2, wherein the externally calculated user activity statistic includes a reconstruction of an event that started when the user activity was initially detected and ended when the user activity ceased to be detected. ### Claim 5 (depends on 1) The mobile device of claim 1, wherein the user activity statistic is one of a distance traveled, a route traveled, a speed of travel, a current position or a periodic human motion count. ### Claim 6 (depends on 1) The mobile device of claim 1, further comprising: the plurality of sensors including a location sensor and a motion sensor; and the calculating logic to verify the calculated user activity based on location information. ### Claim 7 (depends on 1) The mobile device of claim 1, further comprising: the plurality of sensors including a location sensor and a motion sensor; and the calculating logic to verify location information based on accelerations from the motion sensor and past location information from the location sensor. ### Claim 8 (depends on 1) The mobile device of claim 1, further comprising: the plurality of sensors including a location sensor; and the central processing unit to receive location information from the location sensor, and when the location information indicates that a user is at a particular location, the central processing unit to automatically perform a preconfigured action. ### Claim 9 A system to monitor human activity using multiple sensors comprising: a mobile device comprising: a plurality of sensors; a dedicated processing unit receiving data from the plurality of sensors, the dedicated processing unit to process sensor data, the dedicated processing unit further comprising a calculating logic to compare a first estimation of a user activity statistic based on data from a first sensor with a second estimation of a user activity statistic based on data from a second sensor, and calculating the user activity statistic based on the first estimation and the second estimation, wherein the calculated user activity statistic is a result of a weighted combination of the first estimation and the second estimation; and a central processing unit to perform functions in the mobile device; and a server coupled to the mobile device via a network, the server providing a remote calculating logic to perform a portion of the calculations for the calculating logic in the mobile device. ### Claim 10 (depends on 9) The system of claim 9, further comprising: the mobile device including a transmission system to transmit at least a subset of the data from the plurality of sensors to the server, to generate the user activity statistic. ### Claim 11 (depends on 10) The system of claim 10, wherein the subset of the data is transmitted to the server after the user activity ends. ### Claim 12 (depends on 10) The system of claim 10, further comprising: the server to reconstruct of an event that started when the user activity was initially detected and ended when the user activity ceased to be detected. ### Claim 13 (depends on 9) The system of claim 9, wherein the user activity statistic is one of a distance traveled, a route traveled, a speed of travel, a current position or a periodic human motion count. ### Claim 14 (depends on 9) The system of claim 9, the mobile device further comprising: the plurality of sensors including a location sensor and a motion sensor; and the calculating logic to verify the calculated user activity based on location information. ### Claim 15 (depends on 9) The system of claim 9, the mobile device further comprising: the plurality of sensors including a location sensor and a motion sensor; and the calculating logic to verify location information based on accelerations from the motion sensor and past location information from the location sensor. ### Claim 16 (depends on 9) The system of claim 9, the mobile device further comprising: the plurality of sensors including a location sensor; and the central processing unit to receive location information from the location sensor, and when the location information indicates that a user is at a particular location, the central processing unit to automatically perform a preconfigured action. ### Claim 17 A mobile device to monitor human activity using multiple sensors comprising: a plurality of sensors; a processor to receive data from the plurality of sensors, and to calculate a first estimate having a first calculated accuracy and a second estimate having a second calculated accuracy for a user activity statistic; the processor to calculate a composite user activity statistic based on a weighted average of the first and the second estimate, the weighting based on the first and the second calculated accuracy. ### Claim 18 (depends on 17) The mobile device of claim 17, further comprising: a transmission system to transmit at least a subset of the data from the plurality of sensors to an external computing device, to generate one or more of: the estimate and the calculated accuracy for the user activity statistic. ### Claim 19 (depends on 18) The mobile device of claim 18, wherein the external computing device further is to create a reconstruction of an event that started when the human activity was initially detected and ended when the human activity ceased to be detected. ### Claim 20 (depends on 17) The mobile device of claim 17, further comprising: the plurality of sensors including a location sensor and a motion sensor; and a calculating logic to verify location information based on accelerations from the motion sensor and location information from the location sensor.