PATENT CLAIM ANALYSIS

Application Number: 16004119
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-02
Patent Classification: ["703", "002000"]

Abstract:
The technology disclosed relates to simplifying updating of a predictive model using clustering observed points. In particular, it relates to observing a set of points in 3D sensory space, determining surface normal directions from the points, clustering the points by their surface normal directions and adjacency, accessing a predictive model of a hand, refining positions of segments of the predictive model, matching the clusters of the points to the segments, and using the matched clusters to refine the positions of the matched segments. It also relates to distinguishing between alternative motions between two observed locations of a control object in a 3D sensory space by accessing first and second positions of a segment of a predictive model of a control object such that motion between the first position and the second position was at least partially occluded from observation in a 3D sensory space.

Claim (Index 7):
The method of  claim 1 , further including calculating an error indication by:\n pairing the points in the set with points on axes of the segments of the predictive model, wherein the points in the set of points lie on vectors that are normal to the axes; and determining a reduced root mean squared deviation (RMSD) of distances between paired point sets.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.26471
- Patent Class: 703.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14530690', '14590983', '14732616', '15888965', '14572704']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2696196614755613
- 35 USC 102 Novelty (BERT): 0.5735993283841183
- Combined Prediction Score: 0.300017628166417
- Mean Citation Score: 313.818856
- Max Citation Score: 440.5491
- Similarity Product: 409.39490441039794

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