PATENT CLAIM ANALYSIS

Application Number: 15992108
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["600", "301000"]

Abstract:
A system and methods for a machine learning exercise belt comprising a belt, gyroscope, accelerometer, pressure sensor, electromyography (EMG) sensor and wireless adaptor, which may use machine learning algorithms and network communication to determine a weight lifter's form and intensity during exercise and provide feedback if they are performing an exercise with poor form, to help avoid injury and other consequences from poor form during weight lifting exercises.

Claim (Index 9):
A method for a machine learning exercise belt, comprising the steps of:\n measuring acceleration of a smart weight training belt, using an accelerometer; determining orientation of a smart weight training belt, using a gyroscope; measuring pressure exerted on the interior of a smart weight training belt, using a pressure sensor; measuring electrical activity on a given muscle, using an EMG sensor; sending measured data from a smart weight training belt to a smart phone device, using a wireless network adapter; sending measured data and data on a specific desired weight training exercise to a remote server, using a smart phone device, weight training application, and remote server; comparing received data to preset values, using a data store and a remote server; performing machine learning techniques on received data, using a remote server; sending data comprising an evaluation of exercise data previously received, to a smart phone device, using a remote server, a smart phone device, and a network; and giving feedback to a user whether positive or negative feedback regarding workout performance, using a weight training application and smart phone device.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 93.0
- Lexical Diversity: 1.44444
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14447562', '15268619', '14515540', '15853746', '12975306']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.441229198937221
- 35 USC 102 Novelty (BERT): 0.465386306266463
- Combined Prediction Score: 0.4436449096701453
- Mean Citation Score: 148.64671400000003
- Max Citation Score: 151.27776
- Similarity Product: 106.33918667541504

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test