Talk:Driving Assistance

From Capsil Wiki

I'm still not too sure what to write on some of the sections, perhaps the other members have some suggestions.

In particular, there is the Justification section. I found some data about independent testing of some systems, such as ABS, but these are all controlled environment experiments. I think perhaps there is no way accurately assess most systems, see as if the system is functioning well, there will be no recorded accidents. However, most systems we are interested in are still in the research stage, so its difficult to present a single justification for all.

Under research funding, I listed some groups in Japan that have and do provide funding for this type of research. However, only to the main page. Any other detailed pages would probably be in Japanese if they exist at all. Should I try to find more direct links, regardless of language? Also, I can keep reseaching funding sources in US/EU, but if other members happen to know, please add them in.

This paper may be useful to you in the 'justification' section: SPARC-Musselwhite but I think the points you've made above are valid and can be put in the 'Justification ' section. General AND specific links would be good (with some indication of which is which), the purpose of the Wiki is to allow researchers to find people working in fields of interest to them, even if those pages are in Japanese! - Niall

Driving Assistance andWearable Body Sensor Networks

There main are where wearable body sensor networks can aid better and safer driving is around in-car healthcare monitoring. Healthcare Monitoring - In the next 20 years the number of elderly drivers (persons 70 & over) is predicted to triple in the United States. Research on age-related driving concerns has shown that at around the age of 65 drivers face an increased risk of being involved in a vehicle crash. After the age of 75, the risk of driver fatality increases sharply, because older drivers are more vulnerable to both crash-related injury and death. In Europe one in five road traffic deaths are caused by a driver passing out behind the wheel (non alcohol related), usually as a result of fatigue. This fatugue can be caused by any number of factors including plain old tiredness, high medication dosages or ill-health. Body sensor networks can be used to give an early warning when a person is likely to pass out as a result of for example of decreased blood sugar levels, reduced EEG pattern or irregular cardiac rythms (which may lead to heart attack). While there are no such system this author could refer to it would seem a quite simple solution to link one of the systems referred to in Design Aspects of Body Sensor Networks such as the CodeBlue or the Lifeguard system to interact with the onboard computer in a car and provide alarms and intervention if necessary. Other prime areas for development would be for the situation of Diabetics who often loose sensation in their feet and thus over compensate (or under compensate) with the cars pedals. An application such as the MIT/Harvard iShoe [1]could be used to provide correction.

Futuristic application of body sensor networks will see peer to peer networking of physiological data with other cars (there currently are peer to peer systems where cars upgrade software for their on-board computers) in areas where network (broadband) infrastructure is limited.