Korea Advanced Institute of Science and Technology

Chulhong Min

Junehwa Song

Youngki Lee

Younghyun Ju

Inseok Hwang

Chungkuk Yoo

Seungwoo Kang

Jihyun Yu

Uichin Lee

Miri Moon

Seungpyo Choi

Chanyou Hwang

Sangwon Choi

Jaeung Lee

Pillsoon Park

Euihyeok Lee

Disclosed herein is a system for automatic detection of music listening reactions, comprising a wearable sensor and a mobile device. The wearable sensor is worn on the listener's ear. The mobile device receives an inertial signal and a sound signal of the listener from the wearable sensor. The mobile device determines a vocal reaction of the listener based on the inertial signal, the sound signal and music information of the music being played and a motion reaction of the listener based on the inertial signal and the music information. Other embodiments are described and shown.

System and method for automatic detection of music listening reactions, and mobile device performing the method

Disclosed herein is a communication device, which comprises a user trace manager, a power emulator, and a power impact estimator. The user trace manager manages a user's sensor usage trace and device usage trace, which shows the user's mobile device usage pattern. The power emulator executes an executable file of the mobile application to generate hardware usage statistics based on the sensor usage trace and the device usage trace. And the power impact estimator computes an increase in power consumption of the mobile application based on the hardware usage statistics.

Communication device for predicting power consumption of mobile application, communication system including same, method of predicting power consumption of mobile application and method of providing predicted power consumption of mobile application, using same

Disclosed herein is a mobile face-to-face interaction monitoring device and method using the same and system including the same, for supporting accurate and efficient turn monitoring. One embodiment of the mobile face-to-face interaction monitoring device may comprise a conversation group detector for scanning mobile devices in a surrounding area and setting a conversation group, a turn detector for determining (conversational) turn using volume topography created based on sound signals detected in the mobile devices in the conversation group, and a meta-linguistic information processor for extracting meta-linguistic context of participants or interactants in the conversation group based on the turn. Other embodiments are described and shown.

Mobile device executing face-to-face interaction monitoring, method of monitoring face-to-face interaction using the same, and interaction monitoring system including the same, and mobile interaction monitoring application executed on the same

A mobile apparatus includes a cooperator detector, a cooperation planner and a context processor. The cooperator detector selects a cooperating mobile apparatus among adjacent mobile apparatuses. The cooperation planner determines a cooperation plan for operating cooperative context monitoring with the cooperating mobile apparatus. The context processor operates the context monitoring based on the cooperation plan. Accordingly, the resource may be efficiently used and the range of the context monitoring may be enlarged.

Mobile device for performing monitoring on cooperative situation, method of performing monitoring on cooperative situation using said mobile device, and system for performing monitoring on cooperative situation including said mobile device

A mobile apparatus includes a processing planner and a plan processor. The processing planner generates a plurality of resource use plans in response to a context monitoring query (CMQ) of an application, and selects a final plan satisfying a request of the CMQ among the resource use plans. The plan processor executes the final plan. Accordingly, the mobile apparatus may support resource-efficient context monitoring.

Mobile apparatus executing efficient dataflow execution for mobile context monitoring, method of executing dataflow using the same, method of context monitoring using the same and context monitoring system including the same

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Daejeon, South Korea

Chulhong Min