Electronics and Telecommunications Research Institute

Ho Youl Jung

Soo Jun Park

Min Ho Kim

Seon Hee Park

Sa Kwang Song

Jae Won Jang

Mi Young Shin

Sun Hee Park

A method and apparatus for recognizing a gait pattern are provided. The method for recognizing a gate pattern includes: obtaining a walker's foot pressure distribution values through a pressure sensor array disposed at the bottom of a pair of shoes; calculating valid pressure points among the foot pressure distribution values; calculating a center of pressure (COP) movement trace by using the valid pressure points; and recognizing the walker's gait pattern by using the COP movement trace.

Method and apparatus for analyzing gait pattern

An activity monitoring system and method are disclosed to reduce the size of an activity sensor device to reduce its power consumption and smoothly transmit activity and occupancy information from the activity sensor device and an occupancy sensor device to an activity monitoring server to monitor an individual's activity and occupancy information. The activity monitoring system includes: an activity sensor device configured to detect a physical activity of a user, classify the detected physical activity, and transmit activity classification information as a result along with user identification information; one or more occupancy sensor devices configured to receive the activity classification information and the individual's identification information from the activity sensor device, and transmit the received information along with occupancy information; and an activity monitoring server configured to manage the activity classification information, the occupancy information, and the individual's identification information received from the occupancy sensor devices.

Activity monitoring system and method for transmitting information for activity monitoring

Smart footwear includes: a film type insole sensor measuring a change of force applied by a user's foot, as a resistance value; an acceleration sensor measuring an acceleration value according to a change in the motion of the user's foot; and a microcontroller estimating the user's current condition and the quantity of motion based on the resistance value and the acceleration value, and generating user condition information and quantity of motion information.

Smart footwear and operating method thereof

A method for analyzing a gait pattern includes: measuring, by a plurality of force sensing resistor (FSR) sensors, foot pressure values, and outputting the measured foot pressure values, respectively; searching for a maximum pressure local area in which the sum of the output values from the FSR sensors included in each of a plurality of pressure local areas is maximized; calculating a center of pressure (COP) with respect to the detected maximum pressure local area; and analyzing a gait pattern by adding the calculated COP to the trajectory of COPs.

Method for analyzing gait pattern

Provided are a method and system for predicting pathways of genes that serve the same biological purpose using gene expression pattern data and protein interaction data. The method of predicting a gene pathway includes: a first step of generating partial pathways from gene expression pattern data by using a pathway extraction algorithm, and matching the partial pathways to express them as a graph; a second step of generating partial pathways from protein interaction data by using a pathway extraction algorithm, and matching the partial pathways to express them as a graph; and a third step of combining a graph made in the first step and a graph made in the second step by using a graph matching algorithm to make a combined graph.

Method and system for predicting gene pathway using gene expression pattern data and protein interaction data

There are provided a method and system for sensing abnormal signs in daily activities, the method comprising, at the system, sensing the daily activities, reading previously stored daily activity information, generating a daily activity sequence based thereon, sensing the abnormal signs from the daily activity sequence by using a preset sequence alignment algorithm, and providing the sensed abnormal signs to a user. As described above, the abnormal signs, which should be checked to provide care services, are sensed via changes in a daily activity pattern and added to a care service system that will be installed in welfare facilities for the aged or a home of a solitary old person, thereby effectively sensing the abnormal signs in daily activities of the aged.

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Daejeon, South Korea

Ho Youl Jung