Systems and methods for person status differentiation
AssigneeRobert Bosch GmbH
InventorsAkarsh POKKUNURU, Sirajum MUNIR, Michael MIKUSCH, Philip KOENE
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Abstract
A method for determining a status of a person using wireless signals includes annotating selected channel state information segments with a class indicative of a status of the person based on a gait and at least some of a plurality of biometric features of the person. The method also includes identifying the status of the person based on the gait and the at least some of the plurality of biometric features of the person, determining one or more settings of a machine corresponding to the status of the person, and controlling, by a computer system and using the one or more settings, operation of the machine in response to detecting the status of the person.
Claims20
A method for determining a status of a person using wireless signals, the method comprising:
- collecting, at a wireless receiver, channel state information from received packets transmitted by a wireless transmitter;
- annotating, using a computer system, the selected channel state information segments with a class indicative of a status of the person based on a gait and at least some of a plurality of biometric features of the person extracted from the channel state information;
- identifying, using a machine learning model, the status of the person based on the gait and the at least some of the plurality of biometric features of the person, wherein the machine learning model is trained using classifier training and training data comprising information from the selected channel state information segments and gait and biometric information of persons having different statuses;
- determining, using the computer system and the machine learning model and based on the status of the person, one or more settings of a machine located in a space that includes the wireless receiver and the wireless transmitter, wherein the one or more settings correspond to the status of the person;
- and
- controlling, by the computer system and using the one or more settings, operation of the machine in response to detecting the status of the person.
A system for determining a status of a person using wireless signals, the system comprising:
- a wireless receiver configured to receive packets transmitted by a wireless transmitter, and further configured to collect channel state information from the packets;
- and
- a computer system associated with the wireless receiver, wherein the computer system is configured to:
- annotate the selected channel state information segments with a class indicative of a status of the person based on a gait and at least some of a plurality of biometric features of the person extracted from the channel state information;
- identify, using a machine learning model, the status of the person based on the gait and the at least some of the plurality of biometric features of the person, wherein the machine learning model is trained using classifier training and training data comprising information from the selected channel state information segments and gait and biometric information of persons having different statuses;
- determine, using the machine learning model and based on the status of the person, one or more settings of a machine located in a space that includes the wireless receiver and the wireless transmitter, wherein the one or more settings correspond to the status of the person;
- and
- control, using the one or more settings, operation of the machine in response to detecting the status of the person.
A non-transitory computer-readable medium storing instructions that, when executed by a computer system, cause the computer system to carry out operations comprising:
- annotating the selected channel state information segments with a class indicative of a status of the person based on a gait and at least some of a plurality of biometric features of the person extracted from the channel state information;
- identifying, using a machine learning model, the status of the person based on the gait and the at least some of the plurality of biometric features of the person, wherein the status indicates whether the person is a child or an adult;
- determining, using the machine learning model and based on the status of the person, one or more settings of a machine located in a space that includes the wireless, wherein the one or more settings correspond to the status of the person;
- and
- controlling, using the one or more settings, operation of the machine in response to detecting the status of the person.
Dependencies are inferred from the claim text.