International Business Machines Corporation

Mahtab Mirmomeni

Fatemeh Jalali

John Michael Wagner

Stefan Harrer

Shaila Pervin

Benjamin Scott Mashford

Subhrajit Roy

Filiz Isabell Kiral-Kornek

Ying Xu

Elaheh Shafieibavani

Aspects of the invention include a method including collecting, by a processor, physiological data from a user in an environment and a sound waveform from the user's environment. The method detects and labels as a potential annoyance, by the processor, a set of potential annoyance data based on the collected physiological data and the sound waveform. The method decomposes, by the processor, the sound waveform into a first sound waveform segment associated with the set of potential annoyance data and a second sound waveform segment not associated with the set of potential annoyance data. The method predicts, by the processor, that the potential annoyance is an actual annoyance. The method filters and modifies, by the processor, the first sound waveform segment associated with the actual annoyance and provides, by the processor, the second sound waveform segment not associated with the actual annoyance to the user.

Personalized and adaptive learning audio filtering

A recommendation method, system, and computer program product include monitoring a patient using a plurality of sensors, receiving patient information including a comfort level corresponding to a sensor of the plurality of sensors, determining a relevance of each sensor of the plurality of sensors to at least one health conditions of the patient, and determining at least one sensor of the plurality of sensors to disconnect based on the comfort level and the relevance of each sensor.

Dynamic recommendations of sensors for patient monitoring

A health-monitoring method, system, and computer program product include operating at least one sensor of a health-monitoring device having a plurality of sensors, detecting a health condition event that requires operation of an additional sensor of the plurality of sensors to monitor the health condition event, activating the additional sensor of the health-monitoring device, and deactivating the additional sensor when the health condition event that requires the second sensor is no longer detected by the detecting.

Energy-efficient multisensory system for mobile health-monitoring

At a first device, a location highlighting request is received. Responsive to the location highlighting request, a location highlight indicator is activated at the first device. It is determined that the location highlighting request includes a relay instruction. The location highlighting request is transmitted, responsive to the determining, from the first device to a cooperating device comprising a location highlight indicator and a location highlight cooperation capability.

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Melbourne, Australia

Mahtab Mirmomeni