Motion data driven performance evaluation and training
US11556879B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 12, 2017 |
| Grant date | Jan 17, 2023 |
| Priority date | — |
| Expiry date | Mar 10, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Method and apparatus for evaluating user movement in a fulfillment center. A plurality of sub-tasks for performing a fulfillment operation are determined. Embodiments retrieve a training set of motion data that includes a plurality of training motion data samples, each specifying motion data over a respective window of time, and train a first data model to classify instances of motion data into portions, based on the plurality of sub-tasks. At least one data model is trained to assess performance of the fulfillment operation, using the training set of motion data. An instance of motion data describing motion performed during the fulfillment operation is received, the instance of motion data is divided into a plurality of portions, using the first data model, and a measure of quality is generated, by analyzing the plurality of portions of the instance of motion data using the trained at least one data model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.