METHOD AND SYSTEM FOR CROWD-SOURCED ALGORITHM DEVELOPMENT

• US 20170083312A1
• Filed: 09/22/2016
• Published: 03/23/2017
• Est. Priority Date: 09/22/2015
• Status: Abandoned Application

• Current Assignee: MC10, Inc.
• Original Assignee: MC10, Inc.
• Inventors: PINDADO, Jesus, Ceruolo, Melissa, PATEL, Shyamal, McGinnis, Ryan, DePetrillo, Paolo
• Application Number:
  US15/272,816
• Publication Number:
  US 20170083312A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 8/20 Software design
• CPC Class Codes: G06F 8/77 Software metrics
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: H04L 67/1097 for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/34 involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416
• CPC Class Codes: H04W 4/50 Service provisioning or reconfiguring
• CPC Class Codes: H04W 4/70 Services for machine-to-machine communication [M2M] or machine type communication [MTC]
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

A system for development of an algorithm for analysis of sensor data includes one or more wearable sensor devices, a smart device, and a cloud computing platform. The sensors in the wearable sensor device produce sensor data (e.g., physiological data) from a user that can be processed by a software algorithm in the wearable sensor device or by a connected smart device (e.g., a smartphone) via cloud computing, producing an algorithm output. The raw sensor data along with other information, such as the algorithm output and sensor data features can be sent to the cloud computing platform for storage and to enable developers to access the data in order to modify the software algorithms. The wearable sensor device can be configured to send more or less data to the cloud computing platform according to the performance of the software algorithm.

Claims

1. A system comprising

a wearable sensing device including one or more sensors and a wireless communication facility enabling the wearable sensing device to communicate with a remote computer system;

a hub including a wireless communication facility enabling the hub to communicate with the wearable sensor device and a network communication facility enabling the hub to communicate with a cloud computing platform over a network; and

a cloud computing platform connected to a network and configured to receive data from the smart device over the network.

2. The system according to claim 1 wherein the one or more sensors produce sensor data and the wearable sensor device includes firmware and the firmware includes at least one algorithm for processing the sensor data and generating an algorithm output.

3. The system according to claim 2 wherein the wearable sensing device transmits the algorithm output to the hub and the hub transmits the algorithm output to the cloud computing platform.

4. The system according to claim 2 wherein the wearable sensing device transmits the sensor data to the hub and the hub transmits the sensor data to the cloud computing platform.

5. The system according to claim 2 wherein the wearable sensing device transmits the sensor data and the algorithm output to the hub and the hub transmits the sensor data and the algorithm output to the cloud computing platform.

6. The system according to claim 2 wherein the wearable sensing device transmits at least one of raw sensor data, algorithm parameters, data features, and an algorithm identifier associated with the at least one algorithm, to the hub and the hub transmits at least one of raw sensor data, algorithm parameters, data features, and an algorithm identifier associated with the at least one algorithm to the cloud computing platform.

7. The system according to claim 6 wherein the cloud computing platform includes data storage storing at least one of the raw sensor data, the algorithm parameters, the data features, and the algorithm identifier.

8. The system according to claim 2 wherein the cloud computing platform includes data storage storing at least one of the sensor data, the algorithm output, and the firmware.

9. The system according to claim 1 wherein the hub receives firmware from the cloud platform using the network communication facility and the hub transmits the firmware to the wearable sensing device using the wireless communication facility.

10. A wearable sensing device comprising:

a processor and associated memory, the memory storing firmware including instructions executable by the processor to control the operation of the wearable sensing device;

one or more sensors configured to produce sensor data;

a communication facility adapted for communicating with a remote hub;

wherein the firmware includes at least one algorithm that processes the sensor data to produce algorithm output, and the firmware defines at least two operating modes whereby;

in a first operating mode, the wireless sensing device uses the communication facility to transmit algorithm output to the remote hub; and

in a second operating mode, the wireless sensing device uses the communication facility to transmit sensor data to the remote hub.

11. The wearable sensing device according to claim 10 wherein wearable sensing device switches from the first operating mode to the second operating mode in response to a signal from the remote hub.

12. The wearable sensing device according to claim 10 wherein wearable sensing device switches from the second operating mode to the first operating mode in response to a signal from the remote hub.

13. The wearable sensing device according to claim 10 wherein the algorithm determines a level of confidence for the algorithm output in the first mode of operation and automatically switches to third mode of operation that uses the communication facility to transmit algorithm output and features to the remote hub when the level of confidence is below a predefined threshold.

14. The wearable sensing device according to claim 10 wherein the algorithm unable to characterize the sensor data and automatically switches to third mode of operation that uses the communication facility to transmit sensor data, algorithm output and features to the remote hub when the level of confidence is below a predefined threshold.