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 9):
The handheld controller of  claim 7 , wherein the logic is further configured to:\n determine, based at least in part on the touch data provided by the touch sensor at a first time after the time at which the FSR resistance value is measured by the FSR, that the object is no longer in contact with the second control; determine, based at least in part on the force data provided by the FSR at the first time, a second resistance value measured by the FSR; convert the second resistance value to a second digitized FSR input value; determine that the second digitized FSR input value meets or exceeds the threshold value; and register the FSR input event for the first control based at least in part on the second digitized FSR input value meeting or exceeding the threshold 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): 0.6786890788616167
- 35 USC 102 Novelty (BERT): 0.4757195229050747
- Combined Prediction Score: 0.6583921232659625
- Mean Citation Score: 144.635294
- Max Citation Score: 159.26344
- Similarity Product: 110.55797129246712

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

Dataset: test