PATENT CLAIM ANALYSIS

Application Number: 15958066
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-09
Patent Classification: ["482", "092000"]

Abstract:
A method for resistance training to arm and leg movement can include connecting a horizontally oriented raised weight base secured to a moveable sled in a spaced apart relationship, mounting a agility box, threading a first flexible and extendable one piece stretch cord through a plurality of aligned first upper rollers, securing a static non-extending stretch cord between the moveable sled and a subject, pulling on the first flexible and extendable one piece stretch cord connected to the moveable sled by the subject to receive a first load of resistance causing a physiological change to a targeted part of the subject and simultaneously receiving a second load of resistance to a targeted part of the subject while pulling the moveable sled with the static non-extendable stretch cord.

Claim (Index 5):
The method for resistance training to arm and leg movement of  claim 4 , wherein the sensing system comprising:\n a. a processor mounted to the agility box; b. a power supply connected to the processor; c. a computer readable media connected to the processor, the computer readable media containing:\n i. instructions to instruct the processor to calculate distance travelled by the moveable sled, \n ii. instructions to instruct the processor to calculate speed travelled by the subject pulling the moveable sled; \n iii. instructions to instruct the processor to calculate force experienced by the subject while moving the movable sled; \n iv. instructions to instruct the processor to calculate stride length of the subject; and \n v. instructions to instruct the processor to calculate stride frequency of the subject, and wherein the plurality of sensors transmit data to the processor for processing.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 91.0
- Lexical Diversity: 1.94118
- Patent Class: 482.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15798688', '09805711', '12155747', '10845608', '10210507']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5929491666703499
- 35 USC 102 Novelty (BERT): 0.535307627602089
- Combined Prediction Score: 0.5871850127635239
- Mean Citation Score: 190.25498
- Max Citation Score: 397.3001
- Similarity Product: 312.8099944315076

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