![]() Driving in stressful conditions such as city or freeway is associated with a higher rate of accidents, life-threatening situations, and compromises decision-making skills. Traffic congestion could be directly correlated to drivers’ mental health, hence developing a continuous monitoring system to automatically detect drivers’ stress is vital to enhance safety. In this study, the real data collected by Picard and his co-workers are used, available in the PHYSIONET database.Ĭar-induced accidents are a consequence of drivers’ stress or lack of attention which could be affected by emotional events. Besides, reducing the number of sensors during the measurement procedure would increase drivers’ safety by reducing the interference between human and measurement devices. Accordingly, this methodology can substantially reduce the necessity of resorting to the high number of sensors and the corresponding computational burden associated with signal analysis. The result indicates that the foot amplitude feature of the GSR signal solely is a reliable source of stress classification with an accuracy rate of 95.83% by applying the ANOVA approach. These two features are extracted from foot and hand GSR signals in three different scenarios for the sake of training. Three levels of stress are taken into account and two independent features including rising time and amplitude are extracted. ![]() In this study, we evaluate the feasibility and effectiveness of the analysis of variance (ANOVA) classifier learner on the single Galvanic Skin Response (GSR) signal. To obtain a high accuracy approach, a proper classification method should be applied to the most relevant physiological signal. Exploring the most reliable analysis method on a comprehensive physiological signal for stress realization has been commonly investigated in various studies. This paper presents a novel method of stress level classification using physiological signals during the real-world driving task. Although many studies have applied various methods in feature selection and classification, a desirable performance has not yet been achieved. The problem exists when other cyclers are matching your pace yet are behind you.Conventionally, multiple physiological signals are used in the field of stress realization. This action is mostly made when you are traveling with a group of other cyclists as it shows the intention of slowing down, which is easily doable when on the side of a road. But, If you do not have time for this, you must shout the word stop. This is because, unlike cars, bikes don’t have brake lights, which makes it harder for the people behind the biker to understand his intentions and plan accordingly.Įven though this may not be an offense if not used (in some states), using this signal whenever you intend to stop is a sure-shot way of reducing the probability of someone hitting you when you’re stopping.īefore stopping, take a look around to see that the distance between you and the driver is adequate for them to not hit you, and then, extend your left arm out and turn it at a 90-degree angle, in a manner that your hand faces the ground.Īnother way to indicate your intention to stop is to raise your hand, left or right, straight up and make your palm flat, as done by the traffic personnel when instructing a stop. The most important hand signal in biking is the stop sign. They are understood by bikers and car drivers alike and will help you in demonstrating your intentions to others.īefore you go through them, note the following rules of signaling. Indeed, you will notice they are the most widely understood signals to show a biker’s intentions. ![]() Given ahead are the basic hand signals that you should use when cycling. So, when out with a group of friends or in an area where there are other cyclers, be sure to use the hand signals demonstrated below. There may always exist a chance of errors or accidents when out on the road but the use of hand signals greatly reduces that probability.Įven if you’re not out on the road, hand signals are essential for the safety of other cyclers as it allows them to have adequate time to respond when you plan to turn, stop or slow down. It reduces the chances of you getting into an accident with a car driver since you will have used the appropriate hand signals to inform them of your intentions. The use of hand signals while biking can keep you and those around you safe. Hand Signals for cyclers have been made mandatory in many states of America, and if you haven’t been using them, now is the perfect time to start. Whether you’re out bicycling often or you are the occasional cycler, knowing basic hand signals will not only aid you in terms of safety and security, they will also increase your chances of having a smooth and disruption-free session.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |