PATENT CLAIM ANALYSIS

Application Number: 16353998
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["345", "156000"]

Abstract:
Methods and apparatus for providing a dynamically-updated computerized musculo-skeletal representation comprising a plurality of rigid body segments connected by joints. The method comprises recording, using a plurality of autonomous sensors arranged on one or more wearable devices, a plurality of autonomous signals from a user, wherein the plurality of autonomous sensors include a plurality of neuromuscular sensors configured to record neuromuscular signals. The method further comprises providing as input to a trained statistical model, the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals. The method further comprises determining, based on an output of the trained statistical model, musculo-skeletal position information describing a spatial relationship between two or more connected segments of the plurality of rigid body segments of the computerized musculo-skeletal representation, and updating the computerized musculo-skeletal representation based, at least in part, on the musculo-skeletal position information.

Claim (Index 26):
The method according to  claim 16 , further comprising using, by the machine learning model, information derived from the electrical signals to compute the output, the information comprising one or more of a frequency-domain representation of the electrical signals and a time-domain representation of the electrical signals.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 99.0
- Lexical Diversity: 2.29412
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16258232', '16258442', '16257979', '15974384', '16258409']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6888979124710799
- 35 USC 102 Novelty (BERT): 0.5191829662210063
- Combined Prediction Score: 0.6719264178460727
- Mean Citation Score: 316.366728
- Max Citation Score: 331.97498
- Similarity Product: 244.16240624859336

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