PATENT CLAIM ANALYSIS

Application Number: 16074785
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["340", "407100"]

Abstract:
System for assisting in driving a bicycle by sending a haptic feedback to a cyclist having means for detecting the current value of a target quantity (q, v); and a memory module configured for supplying an optimal value of the target quantity (q max ; v max ) corresponding to the current spatial position (x) of the bicycle along the predetermined path or corresponding to the current instant (t). A comparator module is configured for determining a quantity representative of the error (e q ; e v ) between said current value of the target quantity (q, v) and said optimal value of the target quantity (q max ; v max ) supplied by the memory module. An actuator is applicable to a portion of the bicycle (100), suitable for generating vibrations. A control module is configured for determining a vibration frequency (f) of the actuator based on the error (e q ; e v ), wherein the said vibration implements the haptic feedback to the cyclist.

Claim (Index 10):
System according to the preceding claim, wherein said vibration frequency (f) is settable by the control module between a maximum value (f max ) and a value equal to 0, so that:\n the vibration frequency (f) is equal to the maximum frequency (f max ) if the current value of the target quantity (q, v) is greater than the optimal value of the target quantity (q max ; v max ); the vibration frequency (f) gradually or instantaneously decreases as the current value of the target quantity (q, v) decreases in comparison with the optimal value of the target quantity (q max ; v max ), until it becomes zero when the target quantity error (e q ) reaches a threshold value e q * in the range 0-1.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 96.0
- Lexical Diversity: 2.63014
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15735215', '13981627', '12511863', '15593622', '11659392']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6481129774436071
- 35 USC 102 Novelty (BERT): 0.5353457576111081
- Combined Prediction Score: 0.6368362554603573
- Mean Citation Score: 176.51090399999995
- Max Citation Score: 207.72571
- Similarity Product: 97.77171777912972

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