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 18):
The control system of  claim 1 , wherein the IES includes a footwear controller and an audio component both attached to the shoe structure, and wherein the controller is further programmed to transmit a pedestrian collision warning signal to the footwear controller, the pedestrian collision warning signal causing the footwear controller to command the audio component to generate a predetermined audible alert configured to warn the user of an impending collision with a motor vehicle.

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): 0.7409707210052001
- 35 USC 102 Novelty (BERT): 0.5764350596626348
- Combined Prediction Score: 0.7245171548709436
- Mean Citation Score: 339.22685199999995
- Max Citation Score: 466.92264000000006
- Similarity Product: 386.5165184807682

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