PATENT CLAIM ANALYSIS

Application Number: 15928795
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["700", "091000"]

Abstract:
A physical activity monitoring method and system may include a competition component requiring users to compete based on various metrics. The challenge may be device-specific, activity type-specific, user-type specific and the like. In some examples, the users' performance might only affect the status of the competition if the user synchronizes the information to an activity monitoring system.

Claim (Index 12):
A method comprising:\n detecting, from data received from an accelerometer sensor integrated into an apparatus, activity performed by a user for an activity competition; determining that the activity performed by the user has been registered toward the activity competition only upon determining that activity data corresponding to the detected activity has been synchronized through a network system with at least one other apparatus; receive further activity data; determine a required synchronization frequency; trigger synchronization of the further activity data by transitioning the apparatus from a sleep state to an active state; and determine whether synchronization of the further activity data was requested in accordance with the required synchronization frequency.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.3913
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14186425', '15605503', '15040719', '14194229', '15211016']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4634188310665286
- 35 USC 102 Novelty (BERT): 0.5389724897573464
- Combined Prediction Score: 0.4709741969356104
- Mean Citation Score: 363.111686
- Max Citation Score: 401.90826
- Similarity Product: 365.56450198354486

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

Dataset: test