Abstract: According to an aspect, there is provided a computer-implemented method for evaluating movement of a subject. The method comprises obtaining a first signal from a first sensor; processing the first signal to determine a value of a quality measure for the first signal; and determining a configuration for a movement evaluation algorithm. The configuration of the movement evaluation algorithm is dependent on the determined value of the quality measure for the first signal such that either or both of a decision threshold of the movement evaluation algorithm is determined based on the determined value of the quality measure; and one or more weightings used in the movement evaluation algorithm for the one or more first features that are to be derived from a signal from the first sensor are determined based on the determined value of the quality measure. A corresponding apparatus and computer program product are also provided.

Abstract: According to an aspect, there is provided a fall detection apparatus, the fall detection apparatus comprising one or more processing units configured to obtain a first input indicating which one or ones of a plurality of fall detection algorithms have detected a potential fall by the subject, wherein each fall detection algorithm of the plurality of fall detection algorithms is associated with a respective type of fall and detects a potential fall of the associated type by analysing a set of movement measurements for the subject, wherein each respective type of fall has an associated initial state of the subject; obtain a second input indicating the status of the subject prior to the potential fall, wherein the status of the subject is determined by analysing a set of measurements from one or more sensors in the environment of the subject; compare the determined status of the subject prior to the potential fall to the initial state for each type of fall associated with any potential fall indicated in the firs

Abstract: According to an aspect, there is provided a wrist-worn emergency-detection device (10), such as a fall-detection device, the emergency detection device comprising a sensor interface (30), a processor (20) and a touch-sensitive display (40), wherein the processor is arranged to: trigger an alarm based on an emergency-detection input from the sensor interface; select a cancel configuration of the device to accept a cancel alarm input from a user, the cancel alarm input instructing alarm cancellation with an input that varies from a previous time a cancel configuration was selected; format the display with user instructions according to the cancel configuration; and cancel the alarm when there is a cancel alarm input by the user in accordance with the user instructions.

Abstract: Proposed are concepts for distinguishing between fall events and non-fall-events for different sub-groups of subjects within a monitored group (i.e. monitored population) of subjects. It is proposed that an entire group/population of monitored subjects may be partitioned into sub-groups, each sub-group consisting of a plurality of members (i.e. subjects) having a certain property value or characteristic unique to that group. A respective decision value may be determined for each sub-group, wherein the decision value for a sub-group takes account of a previously obtained false fall detection rate for that sub-group.

Abstract: A concept for monitoring a subject employs: a first sensor output signal representative of detected air pressure; and a second sensor output signal representative of a detected property of at least one of: the subject; and the environment. A dressing activity of the subject is determined based on the first sensor output signal and the second sensor output signal. Information about a dressing activity of the subject may, for example, be useful for the purpose of assessing the subject's physical and/or mental abilities.

Abstract: A method for classifying movement of a user during a period of low activity, such as sleep, is provided. The method includes providing a wearable device having a motion sensor; obtaining sensor data from the motion sensor in a buffer having raw sensor data points within a time period; determining whether at least part of the raw sensor data points in the first buffer meets a predefined condition based on a stationarity of motion in the raw sensor data; deriving a low-temporal resolution representation of the raw sensor data points in the first buffer when the at least part of the plurality of raw sensor data points in the first buffer meets the predefined condition based on stationarity; adapting the low-temporal resolution representation based on an estimated effect of a phenomenon on the low-temporal resolution representation; and classifying movement of the user based on the adapted low-temporal resolution representation.

Abstract: According to an aspect, there is provided a wrist-worn emergency-detection device (10), such as a fall-detection device, the emergency detection device comprising a sensor interface (30), a processor (20) and a touch-sensitive display (40), wherein the processor is arranged to: trigger an alarm based on an emergency-detection input from the sensor interface; select a cancel configuration of the device to accept a cancel alarm input from a user, the cancel alarm input instructing alarm cancellation with an input that varies from a previous time a cancel configuration was selected; format the display with user instructions according to the cancel configuration; and cancel the alarm when there is a cancel alarm input by the user in accordance with the user instructions.

Abstract: According to an aspect, there is provided a monitoring apparatus (2) for monitoring a user. The monitoring apparatus (2) comprises a processing unit (10) that is configured to receive first movement measurements from a first movement sensor (16) that is associated with the user, the first movement measurements representing movements of the user; and receive second movement measurements from a second movement sensor (20) that is associated with a first assistive technology, AT, device (8), the second movement measurements representing movements of the first AT device (8).

Abstract: According to an aspect, there is provided a fall detection apparatus for detecting a fall by a user, the fall detection apparatus comprising a processing unit configured to: receive measurements of movements of the user over time from a first movement sensor that is to be worn or carried by the user, determine if any of one or more objects are being carried or used by the user, and determine whether the user has fallen by processing the received measurements of the movements of the user and measurements of movements of any object that is being carried or used by the user.

Abstract: There is provided a device and a method of operating the device for determining whether the device is immersed in a fluid. An acceleration signal for the device is acquired (302) and a pressure within the device is detected (304). It is determined whether the device is immersed in a fluid based on a comparison of the acquired acceleration signal with the detected pressure (306).

Abstract: Presented are concepts for detecting an ictal of a subject. One such concept generates an ictal detection threshold based on a current interictal period of the subject. An ictal of the subject may then detected based on an identifier of a potential ictal of the subject and the ictal detection threshold. Adaptation of an ictal detection threshold based on an interictal period of the subject may help to improve the accuracy of ictal detection.

Abstract: Presented are concepts for monitoring walker usage by a subject. One such concept obtains movement data comprising values of detected movement of an arm of the subject for a first time period during which the subject is determined to have transferred between first and second locations the first time period. It is determined if the subject used a walker during the first time period based on a measure of variance in the values of detected movement of the subject's arm during the first time period.

Abstract: A method for detecting a fall by a user wearing a fall detector, including: detecting a trigger event identifying the time location of a possible fall event in user data; extracting motion features from motion data and physiological features from physiological data from within a time window around the identified time location; and determining whether the detected trigger event is a fall by the user by inputting the at least one of the motion features and at least one of the physiological features into a classifier.

Abstract: A device is configured to perform a method that detects a trigger marker for an action corresponding to a segment of a multimedia signal. A fingerprint is generated based on the segment of the multimedia signal at a trigger time point. The generated fingerprint is stored in a database and communicated to the device. During playback of the multimedia signal, fingerprints of segments of the multimedia signal are generated and matched against fingerprints in the database. When a match is found, one or more associated actions for the segment are retrieved by the device. The trigger time point may be determined as a time point near or at the segment of the multimedia signal with the matched fingerprint. In this way, trigger markers for actions may be enabled without modifying the multimedia signal.

Abstract: In one embodiment, an apparatus (12) that samples a signal obtained or derived from an accelerometer, filters the samples, accumulates the filtered samples, and determines which limb the apparatus is associated with based on a comparison of the filtered accumulated samples and a threshold set.

Abstract: A system for managing a call includes a virtual caregiver that assists callers of a monitoring service in response to data received from a monitoring device. The virtual caregiver includes conversation analyzer that initiates a call to a user of the monitoring device and performs a conversation with the user during the call. The conversation is performed by generating audible comments in a synthesized voice to interact with the user. The audible comments are generated to elicit voice responses from the user containing information corresponding to the sensor data. The conversation analyzer also analyzes audible features of the voice responses using one or more models to interpret a condition of the user, generates a decision based on the interpreted condition of the user, and performs at least one action based on the decision.

Abstract: According to an aspect, there is provided a fall detection apparatus for detecting a fall by a user, the fall detection apparatus comprising a processing unit configured to: receive measurements of movements of the user over time from a first movement sensor that is to be worn or carried by the user; determine if any of one or more objects are being carried or used by the user; and determine whether the user has fallen by processing the received measurements of the movements of the user and measurements of movements of any object that is being carried or used by the user.

Abstract: There is provided a method, apparatus and system for method for tailoring at least one subsequent communication to a user. Data acquired on the user in connection with a plurality of communications to the user is processed to determine a value for one or more characteristics indicative of a state of the user in connection with each communication. At least one communication parameter is varied in respect of each communication. The values for the one or more characteristics indicative of the state of the user that are determined in connection with each communication are compared to identify one or more communication parameters that are most suitable for the user. One or more communication parameters are set for the at least one subsequent communication to the user according to the one or more identified communication parameters. The subsequent communication to the user is enabled based on the set one or more communication parameters.

Abstract: A device is configured to perform a method that detects a trigger marker for an action corresponding to a segment of a multimedia signal. A fingerprint is generated based on the segment of the multimedia signal at a trigger time point. The generated fingerprint is stored in a database and communicated to the device. During playback of the multimedia signal, fingerprints of segments of the multimedia signal are generated and matched against fingerprints in the database. When a match is found, one or more associated actions for the segment are retrieved by the device. The trigger time point may be determined as a time point near or at the segment of the multimedia signal with the matched fingerprint. In this way, trigger markers for actions may be enabled without modifying the multimedia signal.

Abstract: In one embodiment, a method (110) that determines conditions including that a user is located in a monitored area and not wearing a wearable device (112), and provides an alert based on the determinations and an input pattern from one or plural sensors (114).