公开(公告)号：US10310079B1

公开(公告)日：2019-06-04

申请号：US15910897

申请日：2018-03-02

Applicant: Amazon Technologies, Inc.

Inventor： Koohyun Um ,  Ce Zhang ,  Jungtao Liu

IPC: H04W4/38 ,  G01S15/04 ,  G06N20/00 ,  G08B13/16

Abstract: A method includes receiving, by a first wireless device, first data indicative of channel properties of a first communication link between the first wireless device and a second wireless device, the first wireless device and the second wireless device being located in a same vicinity. The method further includes detecting, using a supervised machine learning (ML) model applied to the first data, human movement and presence of stationary objects within the same vicinity and activating, by the first wireless device in response to detection of the human movement, an ultrasonic signal. The method further includes receiving, by the first wireless device, a reflected component of the ultrasonic signal and confirming, by the first wireless device using the reflected component, presence of a human in the same vicinity.

公开(公告)号：US10217346B1

公开(公告)日：2019-02-26

申请号：US15805883

申请日：2017-11-07

Applicant: Amazon Technologies, Inc.

Inventor： Ce Zhang ,  Ming Zheng ,  Peruvemba Ranganathan Sai Ananthanarayanan ,  Anuj Dron ,  Celalettin Umit Bas

IPC: H04W24/00 ,  G08B21/22 ,  G06N3/08 ,  H04B17/318 ,  H04W8/24 ,  H04M1/725 ,  H04W4/02

Abstract: In a disclosed method, a computing device receiver, from a wireless receiver (RX), first data indicative of channel properties of a first communication link between the wireless receiver (RX) in a first device and a wireless transmitter (TX) in a second device. The first device and the second device are located in a building. The computing device further executes a neural network to process the first data to distinguish humans from stationary objects within the building and detect presence of the human in the building. The computing device transmits result data indicative of the presence to at least one of the first device or the second device.

公开(公告)号：US11271629B1

公开(公告)日：2022-03-08

申请号：US15906623

申请日：2018-02-27

Applicant: Amazon Technologies, Inc.

Inventor： Koohyun Um ,  Jungtao Liu ,  Ce Zhang

IPC: H04B7/06 ,  H04W84/12

Abstract: A system that can determine states of human activity and transitions between those states using wireless signal data. A machine learning model such as a Hidden Markov Model (HMM) may be trained to determine transitions between states of human activity (e.g., static, slow movement, fast movement) using information from wireless signal data, such as channel state information gathered from Wi-Fi signal beacons. Depending on the state of the human activity the system may then cause certain commands to be executed corresponding to the human activity such as turning on a certain configuration of lights, playing certain music, or the like.

公开(公告)号：US10305766B1

公开(公告)日：2019-05-28

申请号：US15965449

申请日：2018-04-27

Applicant: Amazon Technologies, Inc.

Inventor： Ce Zhang ,  Koohyun Um ,  Jungtao Liu ,  Peruvemba Ranganathan Sai Ananthanarayanan

IPC: H04W24/00 ,  H04L12/26 ,  H04W64/00 ,  H04B7/06 ,  H04B17/318 ,  H04M1/725 ,  G06N20/00

Abstract: A system and method include processing logic receiving, from a wireless transceiver of a first device, first data indicative of channel state information (CSI) of a first communication link between the wireless transceiver and a wireless transmitter of a second device, the first device and the second device being located in a building. The logic pre-preprocesses the first data to generate input vectors composed of statistical parameter values derived from sets of discrete samples of the first data. The logic processes, through a long short-term memory (LSTM) layer of a neural network, the input vectors to generate multiple hidden state values of the neural network. The logic processes, through a set of additional layers of the neural network, respective hidden state values of the multiple hidden state values to determine that a human is present in the building.