TY - JOUR
T1 - Smart Wearable Body Equilibrium Correction System with Mobile Device
AU - Lee, Boon Giin
AU - Chong, Teak Wei
AU - Tran, Viet Cuong
AU - Lee, Su Min
PY - 2017
Y1 - 2017
N2 - In recent decades, employees who worked in office suffered from bone diseases and muscle stress, mainly due to improper sitting posture. This paper is proposed to develop a novel body equilibrium correction to meet solve such issue. The system consists of four modules. A motion sensor module is placed on the center of the user’s chest to measure the sitting orientation. Moreover, an electromyography (EMG) module is located at the both side of the shoulders to measure the user’s muscle tension as incorrect sitting position over a long period of time tends to increase the pain and tense at the shoulders. Thus, it is reliable to serve as references in accordance to the sitting orientation. Both sensor modules transmit the raw data to a processing module. This module integrates the raw data under a packet and further transmits the data packet to a mobile device. A mobile application is implemented to classify the correctness of sitting position. In case the incorrect position is detected, alert is triggered to user by the vibrator motor and light emitting diodes (LEDs) installed along with the system. The proposed system is able to measure and detect any abnormal sitting positon with average true accuracy of 98% with low-cost implementation.
AB - In recent decades, employees who worked in office suffered from bone diseases and muscle stress, mainly due to improper sitting posture. This paper is proposed to develop a novel body equilibrium correction to meet solve such issue. The system consists of four modules. A motion sensor module is placed on the center of the user’s chest to measure the sitting orientation. Moreover, an electromyography (EMG) module is located at the both side of the shoulders to measure the user’s muscle tension as incorrect sitting position over a long period of time tends to increase the pain and tense at the shoulders. Thus, it is reliable to serve as references in accordance to the sitting orientation. Both sensor modules transmit the raw data to a processing module. This module integrates the raw data under a packet and further transmits the data packet to a mobile device. A mobile application is implemented to classify the correctness of sitting position. In case the incorrect position is detected, alert is triggered to user by the vibrator motor and light emitting diodes (LEDs) installed along with the system. The proposed system is able to measure and detect any abnormal sitting positon with average true accuracy of 98% with low-cost implementation.
UR - https://publons.com/wos-op/publon/17932947/
U2 - 10.12783/DTCSE/CSAE2017/17500
DO - 10.12783/DTCSE/CSAE2017/17500
M3 - Article
JO - International Conference on Computer Science and Application Engineering
JF - International Conference on Computer Science and Application Engineering
ER -