Wireless biosensing network for drivers' health monitoring

Abstract : Biosensors integrated into the vehicle controller area network are used for detecting symptoms such as anxiety, pain, and fatigue that may affect driving safety. The proposed system provides a flexible option for implementation in a diverse range of mass-produced automotive accessories without affecting the driver’s movement.

 EXISTING SYSTEM :

 ? The focus of this paper is to summarize and compare already existing methods integrated into car seats with the implementation of inter alia capacitive electrocardiogram (cECG), mechanical motion analysis Ballistocardiography (BCG) and Seismocardiography (SCG). ? Existing systems cannot predict these states, as they are only capable of detecting the current state. ? Desk-mounted eye tracking sensors which use human–machine Interfaces and Interaction to extract features already exist. ? The used algorithm with its high accuracy and low latency clearly shows that it is an effective solution for reliable detection and classification of eye movement.

 DISADVANTAGE :

 ? The main problem probably lies in their relatively high costs and a potential conflict with drivers—the camera can be taken as a violation of their privacy. ? Significant steering movements along with grip position changes, and the relatively common one-handed steering habit causes a significant problem for this technology and negatively affects the data quality. ? This system managed to overcome the common one-handed steering custom and its consecutive problems. ? The problem with these devices is that they can be somewhat uncomfortable for patients as they require direct physical contact with the body.

 PROPOSED SYSTEM :

 • They also proposed conductive textile electrodes which are vapor permeable and have placed silica gel chambers as a source or compensation of moisture behind the textile electrodes. • This proposed system also combined conductive measurement concepts with capacitive sensing, which was later called hybrid sensing. • The adaptive noise cancellation using the LMS algorithm for elimination of floor vibrations was proposed. • The proposed method provided a good accuracy and outperformed other conventional BCG processing methods. • These studies showed that noise in BCG signals could be effectively eliminated by the proposed approach.

 ADVANTAGE :

 ? The efficiency of the system in the proposed model is high comparably. ? A shape-based SNR was used to quantify and analyze the effect of human body movement on performance of different sensors. ? Modern carmakers are already replacing typical electronic control units (ECUs) with centralized computing platforms, which tend to offer a much higher performance. ? The advantage of the camera-based vital sign measuring system is the imperceptible contactless transmission of information from the driver or passenger. ? The main advantage of mentioned methods is that they do not require any reference signal and no prior information, or any assumption, is needed to perform quality filtration.