PATENT CLAIM ANALYSIS

Application Number: 16414353
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-12
Patent Classification: ["340", "436000"]

Abstract:
Presented are intelligent electronic footwear and apparel with controller-automated features, methods for making/operating such footwear and apparel, and control systems for executing automated features of such footwear and apparel. A method for automating a collaborative operation between an intelligent electronic shoe (IES) and an intelligent transportation management (ITM) system includes receiving, via a detection tag attached to the IES shoe structure, a prompt signal from a transmitter-detector module communicatively connected to a traffic system controller of the ITM system. In reaction to the received prompt signal, the detection tag transmits a response signal to the transmitter-detector module. The traffic system controller uses the response signal to determine a location of the IES's user, and the current operating state of a traffic signal proximate the user's location. The traffic system controller transmits a command signal to the traffic signal to switch from the current operating state to a new operating state.

Claim (Index 15):
The control system of  claim 14 , wherein the controller is further programmed to receive crowd-sourced data indicative of behavior of multiple individuals in proximity to the user location, wherein the pedestrian collision threat value is further based on fusion of the behavioral data, user position data, and user dynamics data with the crowd-sourced data.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 100.0
- Lexical Diversity: 2.28767
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16114648', '16114646', '16114632', '16220403', '14558348']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7434127046919249
- 35 USC 102 Novelty (BERT): 0.5696123624862587
- Combined Prediction Score: 0.7260326704713582
- Mean Citation Score: 339.22685199999995
- Max Citation Score: 466.92264000000006
- Similarity Product: 342.4173185724306

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