PATENT CLAIM ANALYSIS

Application Number: 15984245
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["710", "073000"]

Abstract:
Logic of a handheld controller can implement sensor fusion algorithms based on force data provided by a force sensing resistor (FSR) in combination with touch data or proximity data provided by a touch sensor or an array of proximity sensors, respectively. An example sensor fusion algorithm can be used to re-calibrate the FSR when an object contacts an associated control, as detected by the touch sensor. Another example sensor fusion algorithm can be used to ignore spurious inputs detected by the FSR when an object is in contact with an adjacent control. Another example sensor fusion algorithm can be used to detect a hand size of a hand grasping a handle of the controller, as detected by the array of proximity sensors, and to adjust the threshold force to register a FSR input event at the FSR according to the hand size.

Claim (Index 5):
The handheld controller of  claim 4 , wherein registering the FSR input event activates a binding associated with the at least one control, and wherein the logic is further configured to:\n determine, based at least in part on the force data provided by the FSR at a second time after the first time, a third resistance value measured by the FSR; convert the third resistance value to a third digitized FSR input value; determine that the third digitized FSR input value is less than the second digitized FSR input value; and deactivate the binding based at least in part on the third digitized FSR input value being less than the second digitized FSR input value.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 93.0
- Lexical Diversity: 2.23529
- Patent Class: 710.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15834372', '15834425', '14038307', '11986873', '15150769']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6722480819998682
- 35 USC 102 Novelty (BERT): 0.5034124533891982
- Combined Prediction Score: 0.6553645191388012
- Mean Citation Score: 144.635294
- Max Citation Score: 159.26344
- Similarity Product: 83.84277264272212

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

Dataset: test