PATENT CLAIM ANALYSIS

Application Number: 15960461
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["702", "181000"]

Abstract:
A variety of techniques are used automate the collection and classification of workout data gathered by a wearable physiological monitor. The classification process is staged in order to correctly and efficiently characterize a workout type. Initially, a generalized workout event is detected using motion and heart rate data. Then a location of the monitor on a user is determined. An artificial intelligence engine can then be conditionally applied (if a workout is occurring and a suitable device location is detected) to identify the type of workout. In addition to improved speed and accuracy, a workout detection process implemented in this manner can be realized with a sufficiently small computational footprint for deployment on a wearable physiological monitor.

Claim (Index 19):
The system of  claim 17  wherein the processor is configured to create a notification to the user to move the wearable housing to a different position when the position is not one of the number of predetermined positions on the body for which the automatic workout classification algorithm is configured to detect the type.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.62821
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15207924', '14750389', '15265761', '14995874', '15035090']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2235878689979688
- 35 USC 102 Novelty (BERT): 0.5008725668727869
- Combined Prediction Score: 0.2513163387854507
- Mean Citation Score: 200.28484
- Max Citation Score: 211.56848
- Similarity Product: 131.41716466462134

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

Dataset: test