Samsung Electronics Co., Ltd.

Sean Bornheimer

Seounghyun Son

Nathan Robert Folkman

Rhys Bonahoom

Rob Shook

Jeff Jones

Jun Gao

Jilong Kuang

Md Mahbubur Rahman

Ebrahim Nematihosseinabadi

Tousif Ahmed

Anh Minh Dinh

Sunyoung Lee

Yongseok Bang

Jaehyung Hong

Eunyoung Kim

Kwangha Choi

Areum Ko

Jeongwon Ji

Yoonhee Cho

Younguk Do

Jooil Sung

Jinseok Hwang

Sihak Jang

Byeongkuk Keam

Shibo Zhang

Soonki Min

Bashima Islam

Detecting and identifying a predetermined health event can include detecting a potential occurrence of the predetermined health event for a user by processing in real-time motion signals corresponding to motion of the user. A likelihood that the potential occurrence is an actual occurrence of the predetermined health event can be determined based on template matching of the motion signals. In response to determining that the likelihood exceeds a predetermined threshold, audio signals coinciding in time with the motion of the user can be processed using one or more layers of a multilayered audio event classifier.

Multilayered determination of health events using resource-constrained platforms

Detecting an adverse health event and responding to an emergency event can include updating a current context profile of a user based on signals generated by one or more sensors of a device, the signals generated in response to one or more physically measurable phenomena associated with the user. A context-aware baseline profile having a same context as the current context profile can be selected, the context-aware baseline profile selected from a plurality of context-aware baseline profiles having different contexts. Features of the current context profile can be compared with corresponding features of the context-aware baseline profile of the user having the same context as the current context profile. A remedial action can be initiated in response to recognizing, based on the comparing, an occurrence of a possible adverse health event affecting the user.

Timely detection and response to context-specific health events

Passively monitoring a user's breathing with a device can include identifying breathing modes of the user's breathing and responsive to detecting a trigger mode based on the identifying, generating an instruction adapted to the trigger mode. The instruction can be conveyed to the user via the device. The monitoring can include determining phases of the user's breathing with the device. Determining the phases can include receiving acoustic signals generated by an acoustic sensor in response to a user's breathing and generating acoustic data comprising features extracted from the acoustic signals. Phases of the user's breathing can be determined by classifying the acoustic data using a machine learning model trained based on signal processing of motion signals generated by a motion sensor in response to human breathing motions. Though trained using signal processing of motion signals, the machine learning model is trained to classify acoustic data.

Breathing measurement and management using an electronic device

An electronic device is provided. The electronic device includes a communication circuit, a display, at least one sensor, and at least one processor. The at least one processor may be configured to obtain sound data regarding a surrounding environment from a wearable electronic device through the communication circuit, obtain sensor data through the at least one sensor, identify whether the surrounding environment matches one of a plurality of preset contexts, based on the sound data and the sensor data, and perform at least one of transmitting, to the wearable electronic device, a signal for controlling the wearable electronic device through the communication circuit or displaying a notification message on the display, based on the matching context, a state of the display, or whether the wearable electronic device is outputting a sound, in response to identifying that the surrounding environment matches one of the plurality of preset contexts.

Electronic device controlled based on sound data and method for controlling electronic device based on sound data

An electronic device is provided to detect a connection of a first wireless audio device and a second wireless audio device, identify whether a wearer of the first wireless audio device and a wearer of the second wireless audio device are different, based on a first sensor signal received from the first wireless audio device and a second sensor signal received from the second wireless audio device, execute an audio sharing mode, based on the wearer of the first wireless audio device and the wearer of the second wireless audio device being different, control configuration information about the first and the second wireless audio device that are related to a function of the audio sharing mode, and transmit audio data according to the audio sharing mode to the first wireless audio device and the second wireless audio device, based on the configuration information.

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San Francisco, CA, United States of America

Sean Bornheimer