Abstract: According to an aspect, there is provided a computer-implemented method for evaluating movement of a subject.

Abstract: There is provided a method of processing measurements of acceleration to identify steps by a user, the method comprising obtaining measurements of acceleration from a device worn or carried by a user; analysing the measurements of acceleration to determine a value for a threshold that is to be used to identify steps by the user in measurements of acceleration; and using the determined value for the threshold to identify steps by the user in measurements of acceleration.

Abstract: Techniques are described herein for incorporating fall prevention into a personalized activity plan. In various embodiments, a baseline risk of fall for a user may be estimated (302) based on baseline sensor signal(s) (203, 205, 207). Based on a prediction model (215) (which may/may not be associated with the user) and the baseline risk of fall, respective risks of falls associated with various candidate activities may be predicted (304), and then candidate activities may be determined or selected (306) based on the predicted respective risks of falls. Output indicative of the determined candidate activities may be provided (308) to the user, who may provide input (310) identifying one or more of the determined candidate activities as an exercise conducted or to be conducted by the user. Based on the exercise sensor signal(s), a subsequent risk of fall for the user may be estimated (312) and used to update (314) the prediction model.

Abstract: The invention relates to a method and apparatus for providing feedback to a user, in particular relating to the fall risk of the user and/or relating to advice to reduce the fall risk of the user. According to an embodiment, there is provided an apparatus for providing feedback to a user, the apparatus comprising a user interface for providing feedback to the user; and a processing unit.

Abstract: According to an aspect, there is provided a computer-implemented method for evaluating movement of a subject.

Abstract: According to an aspect, there is provided an apparatus (2) for assessing the mobility of a subject, the apparatus (2) comprising a processing unit (4) that is configured to obtain measurements of the movements of the subject over time; process the obtained measurements of the movements to determine values for a first plurality of parameters; and combine the determined values for the first plurality of parameters to determine an estimate of the time that the subject would take to complete a timed up-and-go, TUG, test.

Abstract: The invention relates to a method and apparatus for providing feedback to a user, in particular relating to the fall risk of the user and/or relating to advice to reduce the fall risk of the user. According to an embodiment, there is provided an apparatus for providing feedback to a user, the apparatus comprising a user interface for providing feedback to the user; and a processing unit.

Abstract: According to an aspect, there is provided a computer-implemented method of determining a fall risk of a subject, the method comprising receiving a first data set indicative of movement of the subject; receiving a second data set indicative of context information of the subject; selecting a part of the first data set based on the second data set; and determining a fall risk based on the selected part of the first data set.

Abstract: There is provided a fall detection system, comprising a user device comprising one or more sensors for measuring the movements of a user; and the system further comprising a processing unit configured to operate in a first mode in which the processing unit processes the measured movements to determine if the user has fallen and a further mode in which the processing unit processes measured movements obtained during a user-specified time period to determine the risk of the user falling.

Abstract: There is provided a fall detection system for use in detecting falls by a user, the fall detection system comprising a processing unit configured to determine context information about the user and/or the environment in which the user is located, and to increase the sensitivity of a fall detection algorithm used to detect falls by a user in the event that the determined context information indicates that the user is or may be at an increased risk of falling, the increase in sensitivity occurring while the increased risk of falling is indicated by the determined context information.

Abstract: There is provided a method of processing measurements of acceleration to identify steps by a user, the method comprising obtaining measurements of acceleration from a device worn or carried by a user; analysing the measurements of acceleration to determine a value for a threshold that is to be used to identify steps by the user in measurements of acceleration; and using the determined value for the threshold to identify steps by the user in measurements of acceleration.

Abstract: There is provided a fall detection system for use in detecting falls by a user, the fall detection system comprising a processing unit configured to determine context information about the user and/or the environment in which the user is located, and to increase the sensitivity of a fall detection algorithm used to detect falls by a user in the event that the determined context information indicates that the user is or may be at an increased risk of falling, the increase in sensitivity occurring while the increased risk of falling is indicated by the determined context information.

Abstract: There is provided a fall detection system, comprising a user device comprising one or more sensors for measuring the movements of a user; and the system further comprising a processing unit configured to operate in a first mode in which the processing unit processes the measured movements to determine if the user has fallen and a further mode in which the processing unit processes measured movements obtained during a user-specified time period to determine the risk of the user falling.