PATENT CLAIM ANALYSIS

Application Number: 16228981
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-05
Patent Classification: ["702", "160000"]

Abstract:
According to an example aspect of the present invention, there is provided a personal multi-sensor apparatus comprising a memory configured to store plural sequences of sensor data elements and at least one processing core configured to: derive, from the plural sequences of sensor data elements, plural sensor data segments, each sensor data segment comprising time-aligned sensor data element sub-sequences from at least two of the sequences of sensor data elements, and assign a label to at least some of the sensor data segments based on the sensor data elements comprised in the respective sensor data segments, to obtain a sequence of labels

Claim (Index 23):
A non-transitory computer readable medium having stored thereon a set of computer readable instructions that, when executed by at least one processor, cause an apparatus to at least:\n store plural sequences of sensor data elements; derive, from the plural sequences of sensor data elements, plural sensor data segments, each sensor data segment comprising time-aligned sensor data element sub-sequences from at least two of the sequences of sensor data elements, and assign a label to at least some of the sensor data segments based on the sensor data elements comprised in the respective sensor data segments, to obtain a sequence of labels.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 98.0
- Lexical Diversity: 2.0566
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12543379', '15386062', '15386074', '12543307', '14224511']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1817671345628091
- 35 USC 102 Novelty (BERT): 0.4657022518296477
- Combined Prediction Score: 0.210160646289493
- Mean Citation Score: 123.108169
- Max Citation Score: 126.11788
- Similarity Product: 88.0564644314289

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

Dataset: test