Abstract: A compound sensor system includes a first sensor, a second sensor, a memory that stores a module, and a processor coupled to the first sensor, the second sensor, and the memory. The first sensor is configured to detect a parameter that indicates a likelihood of having a user enter or leave a target area, and, in response, send a first command signal to the processor. The processor is configured to receive the first command signal from the first sensor and send a second command signal to the second sensor based on receiving the first command signal. The second sensor is configured to operate at a sleep mode and switch to an active mode upon receiving the second command signal, and during the active mode the second sensor is configured to determine if the user enters or leaves the target area.

Abstract: Described herein are systems and methods that may autonomously identify a person of a member pool based on pictures of the person, without requiring the person's cooperation. Contextual information of the picture(s) along with the picture(s) are utilized. Contextual information may be the information that is related to current circumstances when the picture was taken. A system may comprise cameras that map appearances to visual data; a mapping function that maps identities and camera information to generate contextual information and a set of a priori probabilities; recognition functions that map the visual data to another set of probabilities, which match each of the visual data with each of the one of the identities; and a decision function that combines the set of a priori probabilities and the another set of probabilities to determine one of the plurality of the identities.

Abstract: A system of user detection includes a camera configured to rotate to a plurality of positions, a memory that stores a module, and a processor coupled, locally or remotely, to the camera. The processor is configured to send a command to the camera to cause the camera to (1) rotate to a position from the plurality of positions, and (2) capture a photo or a video clip at the position. The processor is configured to receive the photo or the video clip from the camera; determine whether a user is captured in the photo or the video clip; divide the photo or the video clip into a plurality of zones; determine a zone from the plurality of zones where the user appears in the photo or the video clip; and determine whether the user is associated with a device based on information of the position and the zone.

Abstract: A method for recognizing the face of a user that uses a device in a facility includes receiving a photo of the user and extracting a face image of the user from the photo. The method includes receiving a full candidate face set of all registered users, a first list of registered users that are within the facility, and a second list of registered users that are using other devices in the facility. The method includes generating a reduced candidate face set from the full candidate face set by excluding at least one of (1) candidate faces corresponding to users that are not included in the first list or (2) candidate faces corresponding to users that are included in the second list, from the full candidate face set. The method also includes determining whether the face image corresponds to a candidate face of the reduced candidate face set.

Abstract: A compound sensor system includes a first sensor, a second sensor, a memory that stores a module, and a processor coupled to the first sensor, the second sensor, and the memory. The first sensor is configured to detect a parameter that indicates a likelihood of having a user enter or leave a target area, and, in response, send a first command signal to the processor. The processor is configured to receive the first command signal from the first sensor and send a second command signal to the second sensor based on receiving the first command signal. The second sensor is configured to operate at a sleep mode and switch to an active mode upon receiving the second command signal, and during the active mode the second sensor is configured to determine if the user enters or leaves the target area.

Abstract: A compound sensor system includes a first sensor, a second sensor, a memory that stores a module, and a processor coupled to the first sensor, the second sensor, and the memory. The first sensor is configured to detect a parameter that indicates a likelihood of having a user enter or leave a target area, and, in response, send a first command signal to the processor. The processor is configured to receive the first command signal from the first sensor and send a second command signal to the second sensor based on receiving the first command signal. The second sensor is configured to operate at a sleep mode and switch to an active mode upon receiving the second command signal, and during the active mode the second sensor is configured to determine if the user enters or leaves the target area.

Abstract: Described herein are systems and methods that may autonomously identify a person of a member pool based on pictures of the person, without requiring the person's cooperation. Contextual information of the picture(s) along with the picture(s) are utilized. Contextual information may be the information that is related to current circumstances when the picture was taken. A system may comprise cameras that map appearances to visual data; a mapping function that maps identities and camera information to generate contextual information and a set of a priori probabilities; recognition functions that map the visual data to another set of probabilities, which match each of the visual data with each of the one of the identities; and a decision function that combines the set of a priori probabilities and the another set of probabilities to determine one of the plurality of the identities.

Abstract: Described herein are systems and methods that may identify a personal and their activities in a facility where the access is limited to members. Matching transaction information and readily accessible personal identifier information such as biometric and/or non-biometric information provides an identification process without requiring user to cooperate in information acquisition. A method may comprise: collecting a timestamp of a transaction of a member; collecting readily accessible personal identifier information of the member with their associated transaction information; computing one or more similarity scores based on the collected readily accessible personal identifier information and historical readily accessible personal identifier information; and determining if there is a match between transaction information and the collected readily accessible personal identifier information based on the one or more similarity scores.

Abstract: A system of user detection includes a camera configured to rotate to a plurality of positions, a memory that stores a module, and a processor coupled, locally or remotely, to the camera. The processor is configured to send a command to the camera to cause the camera to (1) rotate to a position from the plurality of positions, and (2) capture a photo or a video clip at the position. The processor is configured to receive the photo or the video clip from the camera; determine whether a user is captured in the photo or the video clip; divide the photo or the video clip into a plurality of zones; determine a zone from the plurality of zones where the user appears in the photo or the video clip; and determine whether the user is associated with a device based on information of the position and the zone.

Abstract: A method for recognizing the face of a user that uses a device in a facility includes receiving a photo of the user and extracting a face image of the user from the photo. The method includes receiving a full candidate face set of all registered users, a first list of registered users that are within the facility, and a second list of registered users that are using other devices in the facility. The method includes generating a reduced candidate face set from the full candidate face set by excluding at least one of (1) candidate faces corresponding to users that are not included in the first list or (2) candidate faces corresponding to users that are included in the second list, from the full candidate face set. The method also includes determining whether the face image corresponds to a candidate face of the reduced candidate face set.

Abstract: A method for recognizing the face of a user that uses a device in a facility includes receiving a photo of the user and extracting a face image of the user from the photo. The method includes receiving a full candidate face set of all registered users, a first list of registered users that are within the facility, and a second list of registered users that are using other devices in the facility. The method includes generating a reduced candidate face set from the full candidate face set by excluding at least one of (1) candidate faces corresponding to users that are not included in the first list or (2) candidate faces corresponding to users that are included in the second list, from the full candidate face set. The method also includes determining whether the face image corresponds to a candidate face of the reduced candidate face set.

Abstract: A system of user detection includes a camera configured to rotate to a plurality of positions, a memory that stores a module, and a processor coupled, locally or remotely, to the camera. The processor is configured to send a command to the camera to cause the camera to (1) rotate to a position from the plurality of positions, and (2) capture a photo or a video clip at the position. The processor is configured to receive the photo or the video clip from the camera; determine whether a user is captured in the photo or the video clip; divide the photo or the video clip into a plurality of zones; determine a zone from the plurality of zones where the user appears in the photo or the video clip; and determine whether the user is associated with a device based on information of the position and the zone.

Abstract: Systems and methods are provided for tracking, collecting, or analyzing user data for gyms. For example, the system can include a mobile device associated with a user and a tracking device attached to an exercise device. The tracking device can be configured to detect when the mobile device or the user enters within a proximity value of the tracking device and notify the mobile device with a notification signal and identification information of the exercise device. The mobile device can be configured to receive the notification signal from the tracking device, detect a received signal strength (RSS) of the notification signal, and determine whether the RSS is above or at a pre-determined threshold. When the RSS is above or at the pre-determined threshold, the mobile device records the identification information of the exercise device. When the RSS is below the pre-determined threshold, the mobile device ignores the notification signal.

Abstract: A method for recognizing the face of a user that uses a device in a facility includes receiving a photo of the user and extracting a face image of the user from the photo. The method includes receiving a full candidate face set of all registered users, a first list of registered users that are within the facility, and a second list of registered users that are using other devices in the facility. The method includes generating a reduced candidate face set from the full candidate face set by excluding at least one of (1) candidate faces corresponding to users that are not included in the first list or (2) candidate faces corresponding to users that are included in the second list, from the full candidate face set. The method also includes determining whether the face image corresponds to a candidate face of the reduced candidate face set.

Abstract: A system of user detection includes a camera configured to rotate to a plurality of positions, a memory that stores a module, and a processor coupled, locally or remotely, to the camera. The processor is configured to send a command to the camera to cause the camera to (1) rotate to a position from the plurality of positions, and (2) capture a photo or a video clip at the position. The processor is configured to receive the photo or the video clip from the camera; determine whether a user is captured in the photo or the video clip; divide the photo or the video clip into a plurality of zones; determine a zone from the plurality of zones where the user appears in the photo or the video clip; and determine whether the user is associated with a device based on information of the position and the zone.

Abstract: A compound sensor system includes a first sensor, a second sensor, a memory that stores a module, and a processor coupled to the first sensor, the second sensor, and the memory. The first sensor is configured to detect a parameter that indicates a likelihood of having a user enter or leave a target area, and, in response, send a first command signal to the processor. The processor is configured to receive the first command signal from the first sensor and send a second command signal to the second sensor based on receiving the first command signal. The second sensor is configured to operate at a sleep mode and switch to an active mode upon receiving the second command signal, and during the active mode the second sensor is configured to determine if the user enters or leaves the target area.

Abstract: Described herein is an electronic device mounted in a relation to an exercise apparatus for capturing exercise data for a user of the exercise apparatus. Specifically, the electronic device comprises one or more sensors configured to detect a linear motion, a rotation, or a combination of both linear motion and rotation performed by the exercise apparatus. The electronic device may determine whether the motions correspond to a designated exercise pattern of the exercise apparatus. In response to determining exercise pattern, the electronic device collects a series of motion data from the exercise apparatus and process the series of motion data to generate exercise data. The electronic device may also transmit the exercise data to other client devices of the user or cloud servers.

Abstract: Systems and methods are provided for tracking, collecting, or analyzing user data for gyms. For example, the system can include a mobile device associated with a user and a tracking device attached to an exercise device. The tracking device can be configured to detect when the mobile device or the user enters within a proximity value of the tracking device and notify the mobile device with a notification signal and identification information of the exercise device. The mobile device can be configured to receive the notification signal from the tracking device, detect a received signal strength (RSS) of the notification signal, and determine whether the RSS is above or at a pre-determined threshold. When the RSS is above or at the pre-determined threshold, the mobile device records the identification information of the exercise device. When the RSS is below the pre-determined threshold, the mobile device ignores the notification signal.

Abstract: Systems and techniques relating to wireless communications are described. A described technique includes determining a first frequency offset based on a received preamble of a wireless communication signal and a known preamble, the received preamble having been generated based on a spreading sequence and the known preamble, determining a second frequency offset based on the received preamble and the known preamble, and processing at least a portion of the wireless communication signal based on the first frequency offset and the second frequency offset. Determining the first frequency offset can include performing a multi-chip-level differential frequency offset acquisition that uses two or more chips associated with the received preamble. Determining the second frequency offset can include performing a symbol-level differential frequency offset acquisition that uses two or more symbols associated with the received preamble, where each of the two or more symbols are encoded by two or more chips.

Abstract: The present disclosure describes techniques for identity-based RF circuitry compensation. In some aspects data from a wireless device is received via radio frequency circuitry, the data including an identifier that uniquely identifies the wireless device. Impairments of the radio frequency circuitry are estimated based on the received data and then the estimated impairments are associated with the identifier of the wireless device. In response to subsequently receiving data that includes the identifier, the radio frequency circuitry is compensated using the estimated impairments.