PATENT CLAIM ANALYSIS

Application Number: 16008616
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-03
Patent Classification: ["345", "175000"]

Abstract:
A touch sensing apparatus includes a group of emitters arranged to emit light to illuminate at least part of the touch surface, a light detector arranged to receive light from the group of emitters, and a processing element. Each emitter is controlled to transmit a code by way of the emitted light such that the code identifies the respective emitter. The codes may at least partly be transmitted concurrently. The codes may be selected such that a value of an autocorrelation of each code is significantly higher than a value of a cross-correlation between any two codes of different emitters. The processing element processes an output signal from the light detector to separate the light received from the individual emitters based on the transmitted codes, and to determine the position of the object/objects based on the light received from the individual emitters.

Claim (Index 51):
The touch sensing apparatus of  claim 38 , further comprising:\n a light transmissive element that defines the touch surface; wherein said light propagates inside the light transmissive element to illuminate the touch surface such that the one or more objects interacting with the touch surface cause an attenuation of the light propagating inside the light transmissive element; and wherein the at least one processor is further configured to identify attenuations in the light received from each respective emitter, and determine the position of said one or more objects based on the identified attenuations.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 94.0
- Lexical Diversity: 2.11268
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15244390', '14052101', '12998771', '15547587', '15925230']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7227163820585479
- 35 USC 102 Novelty (BERT): 0.5391242387368865
- Combined Prediction Score: 0.7043571677263818
- Mean Citation Score: 325.96719599999994
- Max Citation Score: 396.86908
- Similarity Product: 334.9987983787823

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