PATENT CLAIM ANALYSIS

Application Number: 15981692
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-02
Patent Classification: ["381", "074000"]

Abstract:
An acoustic system, apparatus, method, and computer readable medium may provide for technology to automatically detect idleness in headphones. The technology may include a comparator to receive a first acoustic signal from a first earpiece of the headphones and a second acoustic signal from a second earpiece of the headphones and to compare the first and second signals. The technology may further include a processor coupled to the network interface circuitry and one or more memory devices coupled to the processor. The one or more memory devices may include instructions, which when executed by the processor, cause the headphones to determine if the first and second acoustic signals match within a pre-determined threshold, and to signal the power management logic of the headphones to power-down the headphones if the signals match.

Claim (Index 4):
The acoustic idleness detection system of  claim 1 , wherein if the headphones are powered-on in audio mode with noise cancellation and the audio is playing in stereo, the second acoustic signal comprises cancellation noise mixed with rendered content, wherein comparing the first and second acoustic signals comprises listening, by both first and second earpieces, for a signal that matches from the opposite earpiece.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 93.0
- Lexical Diversity: 2.27419
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15339544', '13784589', '15308052', '15898383', '15122163']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7172169333735048
- 35 USC 102 Novelty (BERT): 0.469433306312444
- Combined Prediction Score: 0.6924385706673988
- Mean Citation Score: 186.295354
- Max Citation Score: 194.36017
- Similarity Product: 162.50872837571146

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

Dataset: test