A wearable device for tracking swim activities of a user is provided. The wearable device may include one or more sensors configured to generate sensor data, and based on the sensor data, the wearable device may determine swim metrics such as swim stroke count, swim stroke type, swim lap count, and swim speed. The determined swim metrics may be filtered based on one or more swim periods during which the user is likely to have been swimming. The wearable device may determine such swim periods based on the sensor data and/or the determined swim metrics.

A wearable device for tracking swim activities of a user is provided. The wearable device may include one or more sensors configured to generate sensor data, and based on the sensor data, the wearable device may determine swim metrics such as swim stroke count, swim stroke type, swim lap count, and swim speed. The determined swim metrics may be filtered based on one or more swim periods during which the user is likely to have been swimming. The wearable device may determine such swim periods based on the sensor data and/or the determined swim metrics.

A navigational system for a host vehicle may comprise at least one processing device. The processing device may be programmed to receive a first output and a second output associated with the host vehicle and identify a representation of a target object in the first output. The processing device may determine whether a characteristic of the target object triggers a navigational constraint by verifying the identification of the target object based on the first output and, if the at least one navigational constraint is not verified based on the first output, then verifying the identification of the target object based on a combination of the first output and the second output. In response to the verification, the processing device may cause at least one navigational change to the host vehicle.

A processor-implemented method and system for determining a predictive occupancy grid map (OGM) for an autonomous vehicle are disclosed. The method includes: receiving a set of OGMs including a current predicted OGM and one or more future predicted OGMs, the current OGM associated with a current timestamp and each future predicted OGM associated with a future timestamp; generating a weight map associated with the current timestamp based on one or more kinodynamic parameters of the vehicle at the current time stamp, and one or more weight map associated with a future timestamp; generating a set of filtered predicted OGMs by filtering the current predicted OGM with the weight map associated the current timestamp and filtering each respective future predicted OGM associated with a future timestamp with the weight map associated with the respective future timestamp; and sending a single predicted OGM to a trajectory generator.

Technologies and implementations for a wearable healthcare system, which may be worn by a person. The wearable healthcare systems may include one or more motion sensors. A motion analysis modules may be included in the wearable healthcare system, which may be configured to determine physical activities and intensity of the physical activities of the person.

A highway detection system may include a telematics device associated with a vehicle having one or more sensors arranged therein, a mobile device associated with a user traveling in the vehicle, and a server computer. The server computer may receive traveling data for a trip of the user from the one or more sensors and via the telematics device. The server computer may then determine whether the user is traveling within a city or on a highway based on analysis of the traveling data for the trip of the user, which may include a statistical analysis to calculate standard deviations of metrics in the traveling data. In response to the determination, the server computer may generate a notification to transmit to the user based on whether the user is traveling within a city or on a highway and transmit the notification to the mobile device associated with the user.

A highway detection system may include a telematics device associated with a vehicle having one or more sensors arranged therein, a mobile device associated with a user traveling in the vehicle, and a server computer. The server computer may receive traveling data for a trip of the user from the one or more sensors and via the telematics device. The server computer may then determine whether the user is traveling within a city or on a highway based on analysis of the traveling data for the trip of the user, which may include a statistical analysis to calculate standard deviations of metrics in the traveling data. In response to the determination, the server computer may generate a notification to transmit to the user based on whether the user is traveling within a city or on a highway and transmit the notification to the mobile device associated with the user.

Operation of a hubodometer includes orbiting detection and cancelation. In particular, in a hubodometer having a housing that rotates relative to a pendulous assembly, such operation includes detecting, by at least one orbiting sensor operatively connected to the pendulous assembly, an orbiting condition of the pendulous assembly, the orbiting condition being at least partly defined by an orbiting direction. Thereafter, and responsive to the detection of the orbiting condition, operation of the hubodometer further comprises applying, by an electric actuator operatively connected to the pendulous assembly, a countervailing force to the pendulous assembly in a direction opposite the orbiting direction. Through application of the countervailing force, the orbiting condition may be canceled.

Operation of a hubodometer includes orbiting detection and cancelation. In particular, in a hubodometer having a housing that rotates relative to a pendulous assembly, such operation includes detecting, by at least one orbiting sensor operatively connected to the pendulous assembly, an orbiting condition of the pendulous assembly, the orbiting condition being at least partly defined by an orbiting direction. Thereafter, and responsive to the detection of the orbiting condition, operation of the hubodometer further comprises applying, by an electric actuator operatively connected to the pendulous assembly, a countervailing force to the pendulous assembly in a direction opposite the orbiting direction. Through application of the countervailing force, the orbiting condition may be canceled.

In an embodiment, a method for commissioning a sensor via a communication unit includes scanning, by the communication unit, a sensor-identifying feature of the sensor to provide sensor-identifying data and sending, by the communication unit to a system controller, the sensor-identifying data. The method further includes receiving, by the communication unit from the system controller, one or more contextual prompts regarding a sensed object to which the sensor is operatively connected and, in response to the contextual prompts, sending, by the communication unit to the system controller, sensed object information. Thereafter, the method further comprises receiving, by the communication unit from the system controller, confirmation of commissioning of the sensor. A corresponding method in the system controller, as well as corresponding apparatus, are also described.