http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Development of Elderly drivers' health monitoring system using IoT platform
( Iqram Hussain ),( Seunghee Hong ),( Damee Kim ),( Young Seo ),( Se Jin Park ) 한국감성과학회 2017 한국감성과학회 국제학술대회(ICES) Vol.2017 No.-
IoT (Internet of things) is considered most innovative technology in smart healthcare monitoring system which is able to show real-time physiological parameters in computer and mobile platform. Brain stroke is most deadly diseases and real-time monitoring is desired to detect stroke onset during regular activities. The aim of our study is to develop a health monitoring system for elderly drivers using IoT devices in order to detect stroke onset during driving. Here, we have suggested a framework of stroke onset detection using IoT sensors and developed a system suitable for elderly drivers. This system can display ECG, EEG, heart rate, seat pressure balance data etc. in car embedded platform and also in mobile devices using IoT sensors. Physiological data will be feed to cloud and compared with reference normal person data. If any abnormality is found in real-time monitoring, system will generate alarm and send message to relatives and emergency services to provide emergency assistance.
Gait Feature Vectors for Post-stroke Prediction using Wearable Sensor
홍승희,김다미,박형규,Iqram Hussain,박세진 한국감성과학회 2019 감성과학 Vol.22 No.3
Stroke is a health problem experienced by many elderly people around the world. Stroke has a devastating effect on quality of life, causing death or disability. Hemiplegia is clearly an early sign of a stroke and can be detected through patterns of body balance and gait. The goal of this study was to determine various feature vectors of foot pressure and gait parameters of patients with stroke through the use of a wearable sensor and to compare the gait parameters with those of healthy elderly people. To monitor the participants at all times, we used a simple measuring device rather than a medical device. We measured gait data of 220 healthy people older than 65 years of age and of 63 elderly patients who had experienced stroke less than 6 months earlier. The center of pressure and the acceleration during standing and gait-related tasks were recorded by a wearable insole sensor worn by the participants. Both the average acceleration and the maximum acceleration were significantly higher in the healthy participants (p < .01) than in the patients with stroke. Thus gait parameters are helpful for determining whether they are patients with stroke or normal elderly people.
Wearable Sleep Monitoring System using Air-mattress and Microwave-radar Sensor: A study
( Se Jin Park ),( Seunghee Hong ),( Iqram Hussain ),( Damee Kim ),( Young Seo ) 한국감성과학회 2019 춘계학술대회 Vol.2019 No.-
Smart IoT sleep sensors embedded in bed mattress monitors physiological parameters such as cardio activity, movement during sleep in order to understand physiological parameters of sleepers. Sleep monitoring devices will observe sleep quality and find out sleep disorder if happens. In this study, five young subjects are monitored using AiSleep and TI microwave wearable sleep sensors. Sleep quality was evaluated and compared with gold-standard Polysomnography (PSG). Accuracy of sleep quality evaluation using wearable sleep device is computed and compared with PSG. This study provides information about framework of sleep monitoring system using sleep monitoring devices. Sleep wearable devices is simple, easy to wear compared with complicated PSG and monitors drivers physiological parameters in order to understand physiological status of elderly adults during sleeping.
A Study on Development of Anti-Gravity Mode Car Seat
( Seunghee Hong ),( Damee Kim ),( Young Seo ),( Iqram Hussain ),( Hyuk Kim ),( Sun Ho Hur ),( Se Jin Park ) 한국감성과학회 2017 한국감성과학회 국제학술대회(ICES) Vol.2017 No.-
As emotion and sensibility field is emerging, automotive technology is also being adopted. Emotion and sensibility is a complex emotion based on multiple interdisciplinary, the role and scope of sensitivity technology is gradually spreading not only as human psychological factors but also ergonomic factors become important. It has no exception in the automobile industry. Among them, as automotive seat is the part in direct contact with the human beings, that is the greatest effecting factor on sensibility technology and ride comfort of the passengers. Therefore, it needs to reflect the ergonomic design, likewise, it should be a fusion of techniques to improve comfort as well as to make feeling less fatigue for long distance travel. In this research, we developed an anti-gravity mode seat focusing on passenger comfort. Then, the comfort in the anti-gravity mode was qualitatively and quantitatively evaluated. Subjective satisfaction was carried out as qualitative evaluation, physiological data (body pressure analysis, EEG, ECG, skin temperature) as qualitative evaluation was measured. As a result, the subjective satisfaction level was improved in the anti gravity mode, the body pressure was evenly dispersed, and the comfort level of EEG and ECG was improved. Therefore, these results presented a new paradigm of the comfort mode of the car seat.