PATENT CLAIM ANALYSIS

Application Number: 15966876
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["700", "276000"]

Abstract:
A temperature voting system which receives votes indicating the temperature preferences of a plurality of occupants within a given HVAC zone, and adjusts a set-point temperature of a corresponding HVAC system accordingly. The votes may be received via a mobile device, an employee workstation, or from one or more biomedical devices. Each occupant may manually enter and submit a vote for their preferred set-point temperature, or a software application may be configured to automatically cast a vote for the corresponding occupant according to user-configurable preferences or current metabolic state. The received votes may be weighted according to a status of the voter, and aggregated to determine an appropriate set-point temperature. In some embodiments, near-field communication devices, GPS location technology, or other technology may be used to automatically detect the presence of an occupant within a HVAC zone and cast the occupant's vote for a corresponding HVAC zone.

Claim (Index 2):
The biomedical temperature control system of  claim 1 , wherein the biomedical device is configured to store information specific to the user, and wherein the vote for the set-point temperature is determined based on the stored information and the detected one or more biometrics.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 91.0
- Lexical Diversity: 2.0125
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14718494', '15375062', '14500190', '11948971', '12362028']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4264973993584183
- 35 USC 102 Novelty (BERT): 0.5213918533187928
- Combined Prediction Score: 0.4359868447544558
- Mean Citation Score: 203.247356
- Max Citation Score: 336.78122
- Similarity Product: 214.3659441028261

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