Implementation of a real-time fall detection system for elderly Korean farmers using an insole-integrated sensing device

Kim, In-Soo; Lee, Kyung-Suk; Kim, Kyung-Ran; Kim, Kyungsu; Chae, Hye-Seon; Kim, Hyo-Cher

doi:10.1080/10739149.2019.1648293

Cited by 5 publications

(1 citation statement)

References 40 publications

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“…By integrating flexible pressure sensors, axial accelerometers and other components into the sports shoe body, a wearable fall monitoring system that monitors the subject's movement status in real time can be made. The monitoring system initiates an alarm when there is a sudden change in plantar pressure and acceleration, and if the wearer does not cancel the alarm within the specified time, the system will automatically request a third-party platform for timely rescue of the wearer [27] . Wearable monitoring system is a key research direction in the field of sports monitoring, but due to the complexity and variability of the wearing environment, the current functions such as wireless monitoring and data remote transmission can only be achieved in the laboratory with good results.…”

Section: Fall Detection Systemmentioning

confidence: 99%

Research progress of wearable plantar pressure monitoring system

Chen¹,

Zhang²,

Zhuo³

et al. 2022

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In order to rapidly promote the application of wearable plantar pressure monitoring system, the physiological structure of human foot, the source of plantar pressure and exercise step frequency are introduced. Based on the current research status of wearable plantar pressure monitoring systems, the fabrication materials and response principles of the fabric sensor-based integrated pressure monitoring socks are explored, the principle of selecting the features of the wearable plantar pressure monitoring system and its application in the field of the pressure monitoring system is explained. The principle of selecting the features of wearable plantar pressure monitoring system and its application in fall detection, foot disease diagnosis, and plantar pressure database are explained. Finally, we discussed the problems in the industrialization of wearable plantar pressure monitoring system at this stage. The problems of poor material performance and short wireless transmission distance in the industrialization of wearable plantar pressure monitoring systems are discussed, and a better integrated system based on biomechanics, textile materials and electronic communication is proposed. A better application prospect based on the cross-fusion integration of biomechanics, textile materials and electronic communication is proposed.

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Section: Fall Detection Systemmentioning

confidence: 99%

Research progress of wearable plantar pressure monitoring system

Chen¹,

Zhang²,

Zhuo³

et al. 2022

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Utilization of Information and Communication Technology in Agriculture

Gaol

Gustira

2020

IOP Conf. Ser.: Mater. Sci. Eng.

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The purpose of this study is to analyze the benefits of ICTs to support agricultural development. This study used qualitative research methods. The results of this study are, the application of ICT in the agricultural sector can reduce risk in business in agriculture. Because the presence of ICTs in the agricultural industry can make predictions more accurately, with various sources and decision support systems and expert systems that can be developed to support farmers in the decision-making process. This research was conducted to find out how influential the role of information and communication technology (ICT) is in the agricultural industry.

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Adaptive window based fall detection using anomaly identification in fog computing scenario

Shrivastava¹,

Pandey²

2021

MGS

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Human fall detection is a subcategory of ambient assisted living. Falls are dangerous for old aged people especially those who are unaccompanied. Detection of falls as early as possible along with high accuracy is indispensable to save the person otherwise it may lead to physical disability even death also. The proposed fall detection system is implemented in the edge computing scenario. An adaptive window-based approach is proposed here for feature extraction because window size affects the performance of the classifier. For training and testing purposes two public datasets and our collected dataset have been used. Anomaly identification based on a support vector machine with an enhanced chi-square kernel is used here for the classification of Activities of Daily Living (ADL) and fall activities. Using the proposed approach 100% sensitivity and 98.08% specificity have been achieved which are better when compared with three recent research based on unsupervised learning. One of the important aspects of this study is that it is also validated on actual real fall data and got 100% accuracy. This complete fall detection model is implemented in the fog computing scenario. The proposed approach of adaptive window based feature extraction is better than static window based approaches and three recent fall detection methods.

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Implementation of a real-time fall detection system for elderly Korean farmers using an insole-integrated sensing device

Cited by 5 publications

References 40 publications

Research progress of wearable plantar pressure monitoring system

Research progress of wearable plantar pressure monitoring system

Utilization of Information and Communication Technology in Agriculture

Adaptive window based fall detection using anomaly identification in fog computing scenario

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