PATENT CLAIM ANALYSIS

Application Number: 16101444
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["342", "451000"]

Abstract:
Methods, apparatus and systems for object motion detection are disclosed. In one example, a system having at least a processor and a memory with a set of instructions stored therein for detecting object motion in a venue is disclosed. The system comprises: a first wireless device configured for transmitting a wireless signal through a wireless multipath channel impacted by a motion of an object in the venue; and a second wireless device that has a different type from that of the first wireless device and is configured for: receiving the wireless signal through the wireless multipath channel impacted by the motion of the object in the venue, and obtaining a time series of channel information (CI) of the wireless multipath channel based on the wireless signal; and a motion detector configured for detecting the motion of the object in the venue based on motion information related to the motion of the object, wherein the motion information associated with the first and second wireless devices is computed based on the time series of CI by at least one of: the motion detector and the second wireless device.

Claim (Index 11):
The system of  claim 10 , wherein:\n the first wireless device is a Type 1 device having a Type 1; the second wireless device is a Type 2 device having a Type 2; the system further comprises at least one of: at least one additional Type 1 device, and at least one additional Type 2 device; the Type 1 devices and the Type 2 devices form a plurality of pairs of Type 1 and Type 2 devices; for each pair of Type 1 and Type 2 devices comprising a Type 1 device and a Type 2 device, the respective Type 1 device is configured for transmitting a respective wireless signal through the wireless multipath channel impacted by the motion of the object in the venue, and the respective Type 2 device is configured for:\n receiving the respective wireless signal through the wireless multipath channel, \n obtaining a respective time series of CI of the wireless multipath channel based on the respective wireless signal, and \n asynchronously computing respective heterogeneous motion information related to the motion of the object based on the respective time series of CI; and \n at least one of the motion detector and the Type 2 devices is configured for performing at least one of:\n partitioning a respective feature space of each of the heterogeneous motion information into a plurality of respective feature segments; \n constructing a respective mapping that associates each respective feature segment with at least one of the plurality of regions of the map of the venue; \n associating asynchronously the motion of the object individually with at least one of the plurality of regions of the map of the venue based on the respective mapping; \n partitioning a joint feature space of heterogeneous motion information associated with a plurality of pairs of Type 1 and Type 2 devices into a plurality of joint feature segments; \n constructing a joint mapping that associates each joint feature segment with at least one of the plurality of regions of the map of the venue; and \n associating asynchronously the motion of the object jointly with a particular one of the plurality of regions of the map of the venue based on the joint mapping.

Metadata:
- Claim Count in Document: 67.0
- Percentile: 96.0
- Lexical Diversity: 2.77778
- Patent Class: 342.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15873806', '15384217', '16060710', '15867932', '14650763']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4987684769053311
- 35 USC 102 Novelty (BERT): 0.5056464004143676
- Combined Prediction Score: 0.4994562692562347
- Mean Citation Score: 160.907082
- Max Citation Score: 292.44373
- Similarity Product: 214.06350938231583

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

Dataset: test