G01C21/12

Detecting Falls Using A Mobile Device

In an example method, a mobile device obtains sample data generated by one or more sensors over a period of time, where the one or more sensors are worn by a user. The mobile device determines that the user has fallen based on the sample data, and determines, based on the sample data, a severity of an injury suffered by the user. The mobile device generates one or more notifications based on the determination that the user has fallen and the determined severity of the injury.

INDOOR NAVIGATION

In accordance with one implementation of the present disclosure, a new approach for determining a movement orientation of a user is proposed in indoor navigation. Generally speaking, a device orientation of a terminal device is obtained based on at least one signal stream collected from the terminal device carried by a moving user. A deviation degree is determined based on the at least one signal stream, here the deviation degree represents a deviation between a movement orientation of the user and an actual device orientation of the terminal device. The movement orientation is determined based on the device orientation in accordance with a determination that the deviation degree is below a threshold degree. With the above implementation, the movement orientation of the user is determined in a more effective an accurate way, and thus accuracy of the indoor navigation is increased.

Device and method for determining at least one position of a mobile terminal

A device for determining at least one position of a mobile terminal includes at least one memory apparatus, a magnetometer sensor unit, a classification unit, and a position-determining unit to determine the position of the mobile terminal. The classification unit is configured to determine states, in particular operating states, of at least one electric motor and/or a vehicle driven by means of at least one electric motor using the magnetometer sensor data. The classification unit is also configured to store the determined states in the at least one memory apparatus. The position-determining unit reads out the states from the at least one memory apparatus and determines the at least one position of the mobile terminal with the help of the states.

Device and method for determining at least one position of a mobile terminal

A device for determining at least one position of a mobile terminal includes at least one memory apparatus, a magnetometer sensor unit, a classification unit, and a position-determining unit to determine the position of the mobile terminal. The classification unit is configured to determine states, in particular operating states, of at least one electric motor and/or a vehicle driven by means of at least one electric motor using the magnetometer sensor data. The classification unit is also configured to store the determined states in the at least one memory apparatus. The position-determining unit reads out the states from the at least one memory apparatus and determines the at least one position of the mobile terminal with the help of the states.

Methods and apparatus for connection attempt failure avoidance with a wireless network
11606832 · 2023-03-14 · ·

Methods, apparatus, systems and articles of manufacture to attempt to establish a connection with a wireless network are disclosed. An example method includes determining a location of a field device. A frequency at which retry attempts to establish a connection with a wireless network are to be made is determined based on the location of the field device. Establishing the connection with the wireless network is attempted. In response to a failure to establish the connection with the wireless network, an indication of the failure to establish the connection and the location of the field device is stored, and the field device waits an amount of time based on the frequency.

INDOOR POSITIONING METHOD AND SYSTEM, COMPUTER DEVICE AND STORAGE MEDIUM

An indoor positioning method includes judging whether a positioning terminal enters a coverage range of a virtual beacon. If yes, judging whether a distance between the positioning terminal and the virtual beacon gradually decreases to obtain a judgement result, according to the judgement result, adjusting the step size of a PDR positioning algorithm. When the distance gradually decreases, the step size of the PDR positioning algorithm is decreased, and when the distance gradually increases, the step size of the PDR positioning algorithm is increased. The positioning terminal is then positioned by a PDR positioning algorithm with the step size adjusted to obtain a positioning result. If not, the positioning terminal is positioned by a PDR positioning algorithm with the step size not adjusted to obtain a positioning result. According to the present invention positioning can be more accurate by adaptively adjusting the step size in the PDR positioning algorithm.

Elevator system to direct passenger to tenant in building whether passenger is inside or outside building

Disclosed is an elevator system for a building, the system including a first elevator for transporting a passenger with a first mobile device between a plurality of lobbies, the system comprising a controller that communicates with the first mobile device renders a plurality of determinations including: a first determination that the passenger is seeking to engage a tenant, whom is a building tenant, a second determination to provide directional information between a current location of the passenger and a first lobby on the first level, a third determination to assign the first elevator to transport the passenger from the first lobby to a second lobby on the second level to engage the tenant, the controller being configured to effect a plurality of transmissions including: a first transmission to the first mobile device to effect the second determination, and a second transmission to the first elevator to effect the third determination.

Dynamic anchor selection for swarm localization

An apparatus comprises at least one sensor to collect localization information indicating a location of a first robotic agent of a plurality of robotic agents; and a processor comprising circuitry. The processor is to cause the first robotic agent to move and to utilize the at least one sensor and other robotic agents of the plurality of robotic agents to determine the location of the first robotic agent during a first period of time in which the first robotic agent is not selected as an anchor reference point; and cause the first robotic agent to remain stationary during a second period of time in which the first robotic agent is selected as an anchor reference point to assist other robotic agents of the plurality of robotic agents in location determination.

Dynamic anchor selection for swarm localization

An apparatus comprises at least one sensor to collect localization information indicating a location of a first robotic agent of a plurality of robotic agents; and a processor comprising circuitry. The processor is to cause the first robotic agent to move and to utilize the at least one sensor and other robotic agents of the plurality of robotic agents to determine the location of the first robotic agent during a first period of time in which the first robotic agent is not selected as an anchor reference point; and cause the first robotic agent to remain stationary during a second period of time in which the first robotic agent is selected as an anchor reference point to assist other robotic agents of the plurality of robotic agents in location determination.

Methods, apparatus, and systems for localization and mapping

A method includes acquiring an image through a visual sensor during a movement of a mobile device. The method includes matching the image with key frames stored in a key frame database. The key frames are created based on two-dimensional coordinates of feature points included in a plurality of images previously acquired through the visual sensor. The method also includes computing a visual relative pose based on two-dimensional coordinates of matching feature points included in both of the image and the one or more key frames that have been matched with the image. The method also includes computing relevant information of the visual relative pose based on the two-dimensional coordinates of the matching feature points. The method further includes updating an absolute pose of the mobile device and a map based on the relevant information of the visual relative pose and relevant information of a dead reckoning based relative pose.