# US 12,214,258 B2 · Wearable computer with fitness machine connectivity for improved activity monitoring > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,214,258 B2 - Document ID: US12214258B2 - Status: Granted - Kind: B2 - Application number: 17/992,253 - Filed: 2022-11-22 - Published: 2023-03-23 - Granted: 2025-02-04 - Earliest claimed: 2017-06-02 - Assignees: Apple Inc. - Applicants: Apple Inc. - Inventors: Jay Blahnik; Meghna Lav; Aidan O'Loan; Jorge Morinigo; Gordon Scott; Siji Rachel Tom; Kevin Sheridan; Craig Dooley; Chen Ganir; Catherine B. B. Morrison; Kevin M. Lynch - Web page: https://patentgrep.com/patent/US12214258B2 ## CPC - A63B 24/0062: {Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance} - A63B 22/02: with movable endless bands {, e.g. treadmills (other training appliances for running on the spot A63B69/0028)} - A63B 71/0622: {Visual, audio or audio-visual systems for entertaining, instructing or motivating the user} - G16H 20/30: relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising - G16H 40/63: for local operation - G16H 50/30: for calculating health indices; for individual health risk assessment - A63B 2024/0065: {Evaluating the fitness, e.g. fitness level or fitness index} - A63B 2071/0625: {Emitting sound, noise or music} - A63B 2071/0658: {Position or arrangement of display} - A63B 2220/17: Counting, e.g. counting periodical movements, revolutions or cycles, or including further data processing to determine distances or speed - A63B 2220/62: Time or time measurement used for time reference, time stamp, master time or clock signal - A63B 2220/803: Motion sensors - A63B 2220/836: Sensors arranged on the body of the user - A63B 2225/50: Wireless data transmission, e.g. by radio transmitters or telemetry - A63B 2230/01: User's weight - A63B 2230/06: heartbeat rate only - A63B 2230/75: calorie expenditure - A63B: APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT (apparatus for passive exercising, massage A61H) - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract A method of generating a calibration factor is described. In an example, the method may include establishing a wireless communication connection with a fitness machine. The method may also include obtaining first machine data from the fitness machine. The first machine data may specify a type of the fitness machine. The method may also include initiating a workout session on the wearable computer based on the first machine data. During the workout session, the method may also include obtaining sensor data, obtaining second machine data, and determining the calibration factor based on the second machine data and the sensor data. The method may also include generating a workout session summary based on the calibration factor. ## Claims ### Claim 1 A computer-implemented method, comprising: establishing, by a wearable computer, a wireless communication connection with a fitness machine; obtaining first machine data from the fitness machine, the first machine data specifying a type of the fitness machine; initiating a workout session on the wearable computer based on the first machine data; during the workout session: obtaining first sensor data generated by the wearable computer; obtaining second machine data from the fitness machine; determining a calibration factor based on the second machine data and the first sensor data; storing the calibration factor on the wearable computer; and scaling second sensor data generated by the wearable computer using the calibration factor to define first scaled sensor data; and generating a workout session summary based on the first scaled sensor data. ### Claim 2 (depends on 1) The computer-implemented method of claim 1, further comprising, during the workout session, launching a pedometer calibration application on the wearable computer to obtain the first sensor data. ### Claim 3 (depends on 2) The computer-implemented method of claim 2, wherein the first sensor data comprises pedometer data comprising at least one of a step count or a distance traveled. ### Claim 4 (depends on 1) The computer-implemented method of claim 1, wherein the calibration factor comprises a ratio formed from the second machine data over the first sensor data. ### Claim 5 (depends on 1) The computer-implemented method of claim 1, further comprising: terminating the workout session; establishing, by the wearable computer, a different workout session on the fitness machine; and during the different workout session: obtaining third sensor data generated by the wearable computer; scaling the third sensor data using the calibration factor to define second scaled sensor data; and storing the second scaled sensor data on the wearable computer. ### Claim 6 (depends on 1) The computer-implemented method of claim 1, further comprising obtaining second machine data from the fitness machine. ### Claim 7 (depends on 6) The computer-implemented method of claim 6, wherein generating the workout session summary comprises scaling the second machine data using the calibration factor. ### Claim 8 One or more non-transitory computer-readable storage devices comprising computer-executable instructions that, when executed by one or more processors of a wearable computer, cause the wearable computer to perform operations comprising: establishing, by the wearable computer, a wireless communication connection with a fitness machine; obtaining first machine data from the fitness machine, the first machine data specifying a type of the fitness machine; initiating a workout session on the wearable computer based on the first machine data; during the workout session: obtaining first sensor data generated by the wearable computer; obtaining second machine data from the fitness machine; determining a calibration factor based on the second machine data and the first sensor data; storing the calibration factor on the wearable computer; and scaling second sensor data generated by the wearable computer using the calibration factor to define first scaled sensor data; and generating a workout session summary based on the first scaled sensor data. ### Claim 9 (depends on 8) The one or more non-transitory computer-readable storage devices of claim 8, further comprising additional computer-executable instructions that when executed cause the wearable computer to perform additional operations comprising, during the workout session, launching a pedometer calibration application on the wearable computer to obtain the first sensor data. ### Claim 10 (depends on 9) The one or more non-transitory computer-readable storage devices of claim 9, wherein the first sensor data comprises pedometer data comprising at least one of a step count or a distance traveled. ### Claim 11 (depends on 8) The one or more non-transitory computer-readable storage devices of claim 8, wherein the calibration factor comprises a ratio formed from the second machine data over the first sensor data. ### Claim 12 (depends on 8) The one or more non-transitory computer-readable storage devices of claim 8, further comprising additional computer-executable instructions that when executed cause the wearable computer to perform additional operations comprising: terminating the workout session; establishing, by the wearable computer, a different workout session on the fitness machine; and during the different workout session: obtaining third sensor data generated by the wearable computer; scaling the third sensor data using the calibration factor to define second scaled sensor data; and storing the second scaled sensor data on the wearable computer. ### Claim 13 (depends on 8) The one or more non-transitory computer-readable storage devices of claim 8, further comprising additional computer-executable instructions that when executed cause the wearable computer to perform additional operations comprising obtaining second machine data from the fitness machine. ### Claim 14 (depends on 13) The one or more non-transitory computer-readable storage devices of claim 13, wherein generating the workout session summary comprises scaling the second machine data using the calibration factor. ### Claim 15 A system, comprising: one or more processors; and memory coupled to the one or more processors and configured to store instructions, which, when executed by the one or more processors, cause the one or more processors to perform operations comprising: establishing, by a wearable computer, a wireless communication connection with a fitness machine; obtaining first machine data from the fitness machine, the first machine data specifying a type of the fitness machine; initiating a workout session on the wearable computer based on the first machine data; during the workout session: obtaining first sensor data generated by the wearable computer; obtaining second machine data from the fitness machine; determining a calibration factor based on the second machine data and the first sensor data; storing the calibration factor on the wearable computer; and scaling second sensor data generated by the wearable computer using the calibration factor to define first scaled sensor data; and generating a workout session summary based on the first scaled sensor data. ### Claim 16 (depends on 15) The system of claim 15, wherein the operations further comprise, during the workout session, launching a pedometer calibration application on the wearable computer to obtain the first sensor data. ### Claim 17 (depends on 16) The system of claim 16, wherein the first sensor data comprises pedometer data comprising at least one of a step count or a distance traveled. ### Claim 18 (depends on 15) The system of claim 15, wherein the calibration factor comprises a ratio formed from the second machine data over the first sensor data. ### Claim 19 (depends on 15) The system of claim 15, wherein the operations further comprise: terminating the workout session; establishing, by the wearable computer, a different workout session on the fitness machine; and during the different workout session: obtaining third sensor data generated by the wearable computer; scaling the third sensor data using the calibration factor to define second scaled sensor data; and storing the second scaled sensor data on the wearable computer. ### Claim 20 (depends on 15) The system of claim 15, wherein the operations further comprise obtaining second machine data from the fitness machine.