Steering Wheel for Active Driver State Detection

Eßers, Stefanie; Lisseman, Jason; Ruck, Heiko

doi:10.1365/s40112-016-1167-y

Cited by 7 publications

(4 citation statements)

References 3 publications

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“…The system block diagram is shown in Figure 3. The steering-type system developed by Essers et al [61] is similar to the system described by Arakawa et al The system includes an infrared sensor built into the steering wheel. The driver's facial expression can be detected by the sensor; this detection is coupled with data obtained through sensors that can detect the driver's hands on the steering wheel.…”

Section: Measurement By Nonwearable-type Devicesmentioning

confidence: 99%

A Review of Heartbeat Detection Systems for Automotive Applications

Arakawa

2021

Sensors

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Many accidents are caused by sudden changes in the physical conditions of professional drivers. Therefore, it is quite important that the driver monitoring system must not restrict or interfere with the driver’s action. Applications that can measure a driver’s heartbeat without restricting the driver’s action are currently under development. In this review, examples of heartbeat-monitoring systems are discussed. In particular, methods for measuring the heartbeat through sensing devices of a wearable-type, such as wristwatch-type, ring-type, and shirt-type devices, as well as through devices of a nonwearable type, such as steering-type, seat-type, and other types of devices, are discussed. The emergence of wearable devices such as the Apple Watch is considered a turning point in the application of driver-monitoring systems. The problems associated with current smartwatch- and smartphone-based systems are discussed, as are the barriers to their practical use in vehicles. We conclude that, for the time being, detection methods using in-vehicle devices and in-vehicle cameras are expected to remain dominant, while devices that can detect health conditions and abnormalities simply by driving as usual are expected to emerge as future applications.

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Section: Measurement By Nonwearable-type Devicesmentioning

confidence: 99%

A Review of Heartbeat Detection Systems for Automotive Applications

Arakawa

2021

Sensors

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“…Based on these characteristics, the possibility to perform ECG biometric observations directly inside a vehicle's cabin may provide some advantages, especially in terms of automatic setting customization (e.g., biometric authentication for ignition lock [137]) and driving pattern modeling aimed at the detection of fatigue-caused accidents [138] and distraction moments [139] (e.g., using ECG signals to assess mental and physical stress and workload [140][141][142] as well as fatigue and drowsiness [143]), and can be operationally deployed through the adoption of hidden sensors underneath the steering wheel rim surface material [144]. In this way, it is possible to detect the location on the steering wheel with which the hands contact [145,146], for both moving and stationary vehicles [147].…”

Section: Sensor-equipped Steering Wheel and Wearablesmentioning

confidence: 99%

On Driver Behavior Recognition for Increased Safety: A Roadmap

Davoli

Martalò

Cilfone

et al. 2020

Safety

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Advanced Driver-Assistance Systems (ADASs) are used for increasing safety in the automotive domain, yet current ADASs notably operate without taking into account drivers’ states, e.g., whether she/he is emotionally apt to drive. In this paper, we first review the state-of-the-art of emotional and cognitive analysis for ADAS: we consider psychological models, the sensors needed for capturing physiological signals, and the typical algorithms used for human emotion classification. Our investigation highlights a lack of advanced Driver Monitoring Systems (DMSs) for ADASs, which could increase driving quality and security for both drivers and passengers. We then provide our view on a novel perception architecture for driver monitoring, built around the concept of Driver Complex State (DCS). DCS relies on multiple non-obtrusive sensors and Artificial Intelligence (AI) for uncovering the driver state and uses it to implement innovative Human–Machine Interface (HMI) functionalities. This concept will be implemented and validated in the recently EU-funded NextPerception project, which is briefly introduced.

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“…According to [14], the average heart rate (bpm) decreased gradually with longer driving time and if a driver's heart rate is more than 78 bpm, the driver is experiencing high mental workload level [15]. Likewise, Essers et al [16] created a steering-type system with an infrared sensor fitted inside. The sensor can identify the driver's facial expression, which is combined with data received from sensors that detect the driver's hands on the steering wheel.…”

Section: Introductionmentioning

confidence: 99%

Driver-centered pervasive application for heart rate measurement

Abdul Razak,

Jun Tong,

Yogarayan

et al. 2024

IJECE

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People spend a significant amount of time daily in the driving seat and some health complexity is possible to happen like heart-related problems, and stroke. Driver’s health conditions may also be attributed to fatigue, drowsiness, or stress levels when driving on the road. Drivers’ health is important to make sure that they are vigilant when they are driving on the road. A driver-centered pervasive application is proposed to monitor a driver’s heart rate while driving. The input will be acquired from the interaction between the driver and embedded sensors at the steering wheel, which is tied to a Bluetooth link with an Android smartphone. The driver can view his historical data easily in tabular or graph form with selected filters using the application since the sensor data are transferred to a real-time database for storage and analysis. The application is coupled with the tool to demonstrate an opportunity as an aftermarket service for vehicles that are not equipped with this technology.

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Steering Wheel for Active Driver State Detection

Cited by 7 publications

References 3 publications

A Review of Heartbeat Detection Systems for Automotive Applications

A Review of Heartbeat Detection Systems for Automotive Applications

On Driver Behavior Recognition for Increased Safety: A Roadmap

Driver-centered pervasive application for heart rate measurement

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