Use Case | Vehicular & Industrial Design

Selected Citations

• Chen, C., Cheng, B., Wang, Z., Chen, D., Tao, X., & Cavanaugh, J. M. (2013). Back Muscle Activity While Operating a Vehicle | SpringerLink. In Proceedings of the FISITA 2012 world automotive congress (pp. 801-811). Springer, Berlin, Heidelberg. Research and/or Engineering Questions/Objective Low Back Disorder (LBD) is common in automobile drivers and prominent in truck drivers. BIOPAC Product: TSD109F
• Murphey, Y. L., Kochhar, D., Chen, F., Huang, Y., & Wang, Y. (2013). A Transportable Instrumentation Package for In-Vehicle On-Road Data Collection for Driver Research (sae.org). SAE Technical Paper. We present research in progress to develop and implement a transportable instrumentation package (TIP) to collect driver data in a vehicle. BIOPAC Product: MP150
• Park, S. J., Subramaniyam, M., Kim, S. E., Hong, S., Lee, J. H., & Jo, C. M. (2017). Older Driver’s Physiological Response Under Risky Driving Conditions—Overtaking, Unprotected Left Turn | SpringerLink. In Advances in Applied Digital Human Modeling and Simulation (pp. 107-114). Springer, Cham. Twenty healthy elderly and twenty healthy young taxi drivers drove a car simulator through an immersive virtual environment. Two driving events were considered intersection crossing and overtaking a lead vehicle with continuous cross traffic coming from opposing direction. BIOPAC Product: MP150
• Rastgoo, M. N., Nakisa, B., Maire, F., Rakotonirainy, A., & Chandran, V. (2019). Automatic driver stress level classification using multimodal deep learning – ScienceDirect. Expert Systems with Applications, 138, 112793. Stress has been identified as one of the contributing factors to vehicle crashes which create a significant cost in terms of loss of life and productivity for governments and societies. Motivated by the need to address the significant costs of driver stress, it is essential to build a practical system that can detect drivers’ stress levels in real time with high accuracy. BIOPAC Product: MP150
• Watson, T., Krause, J., Le, J., & Rao, M. K. (2011). Vehicle integrated non-intrusive monitoring of driver biological signals (No. 2011-01-1095). SAE Technical Paper. A vehicle integrated sensing and analysis system has been designed, implemented, and demonstrated to nonintrusively monitor several biological signals of the driver. BIOPAC Product: BioNomadix
• Yang, J. W., Lee, S. J., Kim, J. H., Choi, M. H., Choi, J. S., Kim, H. S., … & Min, B. C. (2011). Effects of Sending Text Message and Searching Navigation on Skin Conductance Level and Deviation of Vehicle Speed during Driving -Journal of the Society of Korea Industrial and Systems Engineering | Korea Science. Journal of the Society of Korea Industrial and Systems Engineering, 34(1), 9-13. The purpose of this study was to investigate the effects of the secondary tasks such as sending text message (STM) and searching navigation (SN) on skin conductance level (SCL) and deviation of vehicle speed during driving. BIOPAC Product: MP150
• Min, B. C., Chung, S. C., Park, S. J., Kim, C. J., Sim, M. K., & Sakamoto, K. (2002). Autonomic responses of young passengers contingent to the speed and driving mode of a vehicle – ScienceDirect. International Journal of Industrial Ergonomics, 29(4), 187-198. The purpose of the research was to measure the sensibility of young passengers through autonomic responses and subjective assessment under different speeds and driving modes of a vehicle. BIOPAC Product: MP150
• Li, Y., Wang, F., Ke, H., Wang, L. L., & Xu, C. C. (2019). Sensors | Free Full-Text | A Driver’s Physiology Sensor-Based Driving Risk Prediction Method for Lane-Changing Process Using Hidden Markov Model (mdpi.com). Sensors, 19(12), 2670. Lane changing is considered as one of the most dangerous driving behaviors because drivers have to deal with the traffic conflicts on both the current and target lanes. Free article. BIOPAC Product: MP160
• Bian, D., Wade, J. W., Zhang, L., Bekele, E., Swanson, A., Crittendon, J. A., … & Sarkar, N. (2013, July). A Novel Virtual Reality Driving Environment for Autism Intervention | SpringerLink. In International Conference on Universal Access in Human-Computer Interaction (pp. 474-483). Springer, Berlin, Heidelberg. Individuals with autism spectrum disorders (ASD) often have difficulty functioning independently and display impairments related to important tasks related to adaptive independence such as driving. BIOPAC Product: MP150
• Guo, M., Li, S., Wang, L., Chai, M., Chen, F., & Wei, Y. (2016). IJERPH | Free Full-Text | Research on the Relationship between Reaction Ability and Mental State for Online Assessment of Driving Fatigue (mdpi.com). International journal of environmental research and public health, 13(12), 1174. Driving fatigue affects the reaction ability of a driver. The aim of this research is to analyze the relationship between driving fatigue, physiological signals and driver’s reaction time. Free article. BIOPAC Product: MP150