Abstract: A sensor unit (2) comprising a pressure sensor (9) is worn by a person. A fall of the person causes a height change as well an orientation change of the pressure sensor. To enlarge the detectability of the fall the air pressure is positioned such that in a pre-fall condition the contribution of an error to the sensor's measurement is maximal. This error is caused by gravity acting on the membrane of the sensor.

Abstract: The present disclosure relates to a wearable motion detection device (12) configured for detecting body-to-ground proximity, and to a related method. The motion detection device (12) comprising a capacitance detection unit (70) arranged to detect body-to-ground capacitance, the capacitance detection unit (70) comprising a first electrode (30) arranged to contact a body portion (16) of a monitored subject, when the device (12) is worn, a second electrode (32) that is arranged separately from but operatively connected with the first electrode (30), a shield electrode (34) that is arranged to shield the second electrode (32) from the first electrode (30), the device (12) further comprising a control unit (74) arranged to determine, under consideration of a body-to-ground capacitance signal provided by the capacitance detection unit (70), whether a fall event occurs. The present disclosure further relates to a corresponding computer program for implementing a motion detection method.

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: 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 method of operating a fall detector, the method comprising, on detecting a fall event by a user of the fall detector, measuring at least one physiological characteristic of the user; and using the measurement of the at least one physiological characteristic to determine whether to expedite an alert that the user has fallen. An apparatus comprising a processor that is configured to perform the method described above is also provided.

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: 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: 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: There is provided a system for fall prevention for a user, comprising one or more sensors for attachment to respective portions of the body, each sensor being adapted to measure movement of the respective portion of the body and to translate the movement into a signal; and a controller adapted to receive the signal or signals and to determine a risk of falling by estimating a trajectory of the center of mass of the user relative to a trajectory of a lower portion of the body from the signal or signals.

Abstract: There is provided a fall detection system comprising a user device configured to be worn or carried by a user, the user device comprising a proximity sensor for measuring the proximity of the user device to the ground or a floor; and a movement sensor for measuring the movements of the user; the fall detection system further comprising a processing unit configured to process the measurements from the movement sensor to detect a potential fall; activate the proximity sensor if a potential fall is detected; and process the measurements from the proximity sensor to determine if the user has fallen.

Abstract: There is provided a method of estimating the fall risk of a user, the method comprising analyzing measurements of the acceleration of the user to determine if the user has performed a sit-to-stand transfer; identifying the peak vertical acceleration of the user during the sit-to-stand transfer from the measurements of the acceleration of the user; and estimating a fall risk for the user from the identified peak vertical acceleration.

Abstract: There is provided a method for determining the change in horizontal or vertical position of a device, the method comprising obtaining a signal that represents an estimate of the position of the device in a horizontal or vertical direction over time; identifying a maximum position value and a minimum position value from a selected portion of the signal representing the estimate of the position of the device; and determining the change in position over the selected portion of the signal as the difference between the identified maximum position value and the identified minimum position value.

Abstract: A fall risk of a user is determined by collecting measurements of the motion of the user. A value for a parameter related to the gait of the user is estimated from the measurements. The fall risk for the user is determined from a comparison of the estimated value with a normal value for the parameter determined from motion of the user in which the user is at their normal risk of falling.

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: 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: There is provided a fall detection and/or prevention system, comprising one or more sensors for detecting characteristics of movement of a user of the fall detection and/or prevention system and for generating corresponding signals; processing means for analyzing the signals from the one or more sensors using a fall detection algorithm to determine if a fall has taken place or is likely to take place; wherein the processing means is further adapted to update said fall detection algorithm based on the result of the analysis of the signals and an indication whether a fall has actually taken place from the user or a third party.

Abstract: There is provided a method of monitoring a change in height of a device, the device comprising a sensor for measuring the air pressure at the device, the method comprising determining a pressure change threshold from a pre-determined height change and an estimate or measurement of air pressure; obtaining a plurality of measurements of the air pressure at the device; determining a change in the air pressure from two or more of the measurements; and determining if the height of the device has changed by more than the pre-determined height change using the determined change in the air pressure and the determined pressure change threshold.

Abstract: This invention relates to a device and a method of generating a first and a second fingerprint (102,104) usable for synchronisation of at least two signals (101,103) and corresponding method and device for synchronising two or more signals. A fingerprint pair is generated on the basis of a segment of a first signal e.g. an audio signal and of a segment of a second signal e.g. a video signal at each synchronisation time point. The generated fingerprint pair(s) are stored in a database (203) and communicated or distributed to a synchronisation device (303). During synchronisation, fingerprint(s) of the audio signal and fingerprint(s) of the video signal to be synchronised are generated and matched against fingerprints in the database. When a match is found, the fingerprints also determine the synchronisation time point, which is used to synchronise the two signals. In this way, a simple, reliable and efficient way of synchronising at least two signals is obtained.

Abstract: There is provided a bed exit monitoring apparatus for monitoring a user and determining when the user has got out of a bed, the apparatus comprising a processor that is configured to receive measurements of the acceleration in three dimensions acting on a device that is attached to the user; and process the measurements to determine if the user has got out of bed.

Abstract: This invention relates to a device and a method of generating a first and a second fingerprint (102,104) usable for synchronisation of at least two signals (101,103) and corresponding method and device for synchronising two or more signals. A fingerprint pair is generated on the basis of a segment of a first signal e.g. an audio signal and of a segment of a second signal e.g. a video signal at each synchronisation time point. The generated fingerprint pair(s) are stored in a database (203) and communicated or distributed to a synchronisation device (303). During synchronisation, fingerprint(s) of the audio signal and fingerprint(s) of the video signal to be synchronised are generated and matched against fingerprints in the database. When a match is found, the fingerprints also determine the synchronisation time point, which is used to synchronise the two signals. In this way, a simple, reliable and efficient way of synchronising at least two signals is obtained.