# US 12,109,015 B1 · Apparatus and method for monitoring performance of a physical activity > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,109,015 B1 - Document ID: US12109015B1 - Status: Granted - Kind: B1 - Application number: 17/246,130 - Filed: 2021-04-30 - Granted: 2024-10-08 - Earliest claimed: 2020-04-30 - Applicants: Iterate Labs Inc. - Inventors: Apoorva Kiran; Jesper T. Kristensen; Jason D. Guss - Web page: https://patentgrep.com/patent/US12109015B1 ## CPC - A61B 5/1118: {Determining activity level} - A61B 5/0002: {Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network (endoradiosondes A61B5/07)} - A61B 5/1121: {Determining geometric values, e.g. centre of rotation or angular range of movement} - A61B 5/22: Ergometry; Measuring muscular strength or the force of a muscular blow - A61B 5/389: Electromyography [EMG] - A61B 5/746: {Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms} - G06Q 10/06398: {Performance of employee with respect to a job function} - A61B 2503/20: Workers - A61B 2562/0219: Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches - A61B 2562/0223: Magnetic field sensors - A61B 2562/0271: Thermal or temperature sensors - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract A device monitors performance by a subject of a physical activity. The device includes first and second assemblies that each includes a housing, a set of sensors, and a communication link to the other one of the assemblies. Each assembly is configured for removable attachment to corresponding body parts of the subject that have relative motion about a joint of the subject. The device has a resilient physical link that couples the assemblies and allows relative motion of the assemblies. The device further includes a controller disposed in the device for processing data from the sensors, memory for storing the data, and a wireless transceiver disposed in the system for transmitting the data to a destination. ## Claims ### Claim 1 A system comprising: a set of monitoring devices, each device being attached to a limb of the subject associated with a distinct subject performing physical tasks in connection with a set of workplace activities, and having: a set of assemblies, constituting a subsystem, each assembly including a housing and a set of sensors and configured for removable attachment to a body part of the subject; a controller, disposed in the subsystem, coupled to the sensors, and configured to perform initial processing of data from the sensors; and a wireless transceiver disposed in the subsystem, coupled to the controller, and configured to transmit the initially processed data to a server system; and a non-transitory computer readable storage medium storing a set of instructions, which, when executed by the server system, establish a set of computer processes, the computer processes comprising: receiving by the server system, over the network, from each member of the set of monitoring devices, data characterizing performance of the corresponding subject; processing and storing the received data to provide, in a database, performance data, organized according to subject, characterizing physical performance of the corresponding subject in carrying out the set of workplace activities; further processing the performance data to develop for each subject an ergonomic score for a set of ergonomic metrics based on a predefined ergonomic assessment method, to quantify motions that are unproductive and suboptimal; and causing distribution of the-ergonomic score for each subject to a set of recipients. ### Claim 2 (depends on 1) A system according to claim 1, wherein the set of sensors is selected from the group consisting of an accelerometer, a gyroscope, a magnetometer, a thermistor, an EMG sensor, and combinations thereof. ### Claim 3 (depends on 1) A system according to claim 1, wherein the processing of the data includes cleaning the data. ### Claim 4 (depends on 3) A system according to claim 3, wherein the data is cleaned using a technique selected from the group consisting of clustering, principal component analysis (PCA), mean mesh (MM) PCA, data imputation, time stabilization, standard deviation of time, temporal-angular filter, and combinations thereof. ### Claim 5 (depends on 1) A system according to claim 1, wherein the processing of the data includes computing ergonomic metrics on the data. ### Claim 6 (depends on 1) A system according to claim 1, wherein the ergonomic metrics are selected from the group consisting of strain, posture, speed, differential angle, and combinations thereof. ### Claim 7 (depends on 1) A system according to claim 1, wherein the ergonomic scoring is based on a measurement of relative angular motion about a joint using a measure selected from the group consisting of radial angle, ulnar angle, flexion angle, extension angle, pronation angle, supination angle, and combinations thereof. ### Claim 8 (depends on 1) A system according to claim 1, wherein the ergonomic scoring is calculated using an assessment method selected from the group consisting of RULA scores, Moore Garg Strain Index, American Conference of Governmental Industrial Hygienists (ACGIH) Hand Activity Level, Assessment of Repetitive Task (ART), Iterate Lab scores, and combinations thereof. ### Claim 9 (depends on 1) A system according to claim 1, wherein the ergonomic scoring is based on a parameter, relating to the relative motion, the parameter measuring an extent to which the relative motion has exceeded a pre-defined safe limit, and selected from the group consisting of intensity, duty cycle, frequency, and combinations thereof. ### Claim 10 (depends on 1) A system according to claim 1, wherein the processing of the performance data includes employing machine learning techniques to assess data associated with repetitive physical tasks performed by the subject. ### Claim 11 (depends on 1) A system according to claim 1, wherein the processing of the performance data includes generating a report based on the data and transmitting the report to a computing device of a user. ### Claim 12 (depends on 1) A system according to claim 1, wherein the processing of the performance data includes generating an alert based on the data and transmitting the alert to a computing device of the user. ### Claim 13 (depends on 1) A system according to claim 1, wherein the server system has been configured to generate reports and alerts based on the processed ergonomic performance data. ### Claim 14 (depends on 1) A system according to claim 1, wherein the processing of the performance data includes determining parameters applicable to performing tasks associated with a lean manufacturing methodology, the methodology selected from the group consisting of standard work, labor standards, and combinations thereof, such parameters selected from the group consisting of cycle time, cycle count, uptime-to-downtime ratio, compliance, and combinations thereof. ### Claim 15 (depends on 1) A system according to claim 1, wherein at least one of the set of monitoring devices is configured such that the set of assemblies includes a first assembly and a second assembly, wherein each of the first assembly and second assembly includes a communication link to the other one of the first and the second assemblies and is configured for removable attachment to corresponding body parts of the subject, the body parts having relative motion about a joint of the subject; and wherein a resilient physical link couples the first and second assemblies and allows relative motion of the first and second assemblies. ### Claim 16 (depends on 1) A system according to claim 1, wherein the ergonomic metrics are chosen from the group consisting of individual cycle time, work quality, collective process imbalances, collective process interruptions, worker motion, worker speed, and combinations thereof. ### Claim 17 (depends on 1) A system according to claim 1, wherein the processing and storing the received data to provide, in a database, performance data includes a set of steps chosen from the group consisting of: confirming tasks performed; confirming the quality of tasks performed; optimizing job rotations and breaks; analyzing worker motion data for gamification; and analyzing worker motion data for use of performance based incentive programs.