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 12):
A computer implemented method of distinguishing between alternative motions between two observed locations of a control object in a three-dimensional (3D) sensory space, the method including:\n accessing a first position and a second position of a segment of a control object, wherein motion between the first position and the second position was at least partially occluded from observation in a three-dimensional (3D) sensory space; receiving two or more alternative interpretations of movement from the first position to the second position; estimating entropy or extent of motion involved in the alternative interpretations; selecting an alternative interpretation with lower entropy or extent of motion than other interpretations; and applying the alternative interpretation selected to predicting further positioning of the segment of a control object, and of other segments of the control object from additional observations in the three-dimensional (3D) sensory space.

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): 0.2687103176905776
- 35 USC 102 Novelty (BERT): 0.5758199295462644
- Combined Prediction Score: 0.2994212788761463
- Mean Citation Score: 313.818856
- Max Citation Score: 440.5491
- Similarity Product: 428.1595283537506

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