PATENT CLAIM ANALYSIS

Application Number: 15890426
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-11
Patent Classification: ["715", "257000"]

Abstract:
A computer system identifies hand strokes generated while a user produces handwritten text. Based on the hand strokes, characters are identified. Based on the characters, words are identified. The words are checked for spelling, and the user is notified of any misspelled words.

Claim (Index 1):
A method for spell checking handwritten text, wherein software is provided as a service in a cloud environment to perform the method, the method comprising:\n identifying, by a stroke detection module of a sleeve-like spell checker device including a bistable metal spring and a motion detecting sensor and encompassing a writing instrument, hand strokes made using the writing instrument, the spell checker device removably attached to the writing instrument; identifying, based on the one or more hand strokes, one or more characters; identifying, based on the one or more characters, a word; determining whether the word is misspelled, wherein the determination includes comparing the word to a dynamic list of words, determining that the word is not a new word, and receiving input from a second user indicating that the word is misspelled; in response to determining the word is misspelled, notifying a user, wherein notifying the user includes displaying, via a streaming application on the spell checker device and on a liquid crystal display (LCD), the word, and displaying, on the spell checker device, at least two alternative spellings of the word; displaying the word and at least one alternative spelling on a companion device, wherein the companion device includes an optical device, and wherein displaying the word includes superimposing the alternative spelling over the misspelled word; receiving information about the user; analyzing the information to form a hand stroke profile tailored to the user, the hand stroke profile associating sets of hand strokes to characters, wherein the sets of hand strokes are a database of hand strokes captured from a plurality of users; responsive to determining the word is misspelled, determining one or more characters are misidentified; identifying a correct character; and responsive to identifying the correct character, assigning the set of hand strokes associated with the misidentified character to the correct character in the hand stroke profile.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 1.5625
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15602355', '11446354', '11876976', '10914013', '09537965']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3017777539948199
- 35 USC 102 Novelty (BERT): 0.4847410417087913
- Combined Prediction Score: 0.320074082766217
- Mean Citation Score: 169.639344
- Max Citation Score: 261.50104
- Similarity Product: 224.74176481911653

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

Dataset: test