A Mobile Sensing Approach to Stress Detection and Memory Activation for Public Bus Drivers

Rodrigues, João G. P.; Kaiseler, Mariana; Aguiar, Ana; Cunha, João Paulo Silva; Barros, João

doi:10.1109/tits.2015.2445314

Cited by 55 publications

(41 citation statements)

References 42 publications

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“…All officers carried the study "kit" all day, without reporting any disturbance with the equipment, demonstrating the high acceptability and feasibility of this method. In regards to the use of the geo-located system, in agreement with Rodrigues et al (2015a) findings among bus drivers, this method seems to facilitate memory retrieval among EROs when identifying stressful events. Other possible future advantage in GPS location tagging could be the chance to have this data available in real time allowing for police commanders to have a better control of their teams and it would be easier to identify stressful hotspots (e.g., dangerous neighborhoods, roads).…”

Section: Discussionsupporting

confidence: 72%

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Ambulatory Assessment of Psychophysiological Stress among Police Officers: a Proof-of-Concept Study

et al. 2017

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Occupational stress has been widely recognized as a global challenge and has received increased attention by the academic community. Ambulatory Assessment methodologies, combining psychophysiological measures of stress, offer a promising avenue for future prevention and/or rehabilitation stress research. Considering that policing is well known for being a particularly stressful occupation, Emergency Responders Officers (EROs) stress levels were investigated. Particularly, this study analyzed: (i) physiological stress data obtained during shifts and compared these data with baseline levels (days off), as well as (ii) with normative values for healthy populations; (iii) stress symptoms differences from beginning to end of shift; (iv) stress events and events intensity and (v) the acceptability and feasibility of this proof-ofconcept study in a highly stressful occupation. A Geo-location event system was used to help retrospective accounts of psychological stress, combined with electrocardiogram (ECG) data and mobile self-reports, that include stress symptoms, event types and event intensity. Results suggest that EROs experience high levels of stress (both onduty and off duty) when compared to healthy populations. Stress symptoms increase from the beginning to end of the shift. However, the mean events intensity was very low. It can be concluded that stress may not always be diagnosed when using merely

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Section: Discussionsupporting

confidence: 72%

“…4). Each reported event and other potential stressful events were detected thorough an automated algorithm (following Rodrigues et al 2015a) and were imported into Google map. These events were then presented to participants at the end-of-shift interview, aiming to …”

Section: Geo-location Datamentioning

confidence: 99%

Ambulatory Assessment of Psychophysiological Stress among Police Officers: a Proof-of-Concept Study

et al. 2017

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“…It has an analysis software specific for rhythm alterations, which can only be read by a health professional. Experimental applications of VJ include stress detection in bus drivers [65] and firefighters [66] through analysis of ECG data and heart rate variability (HRV), identification of physiological responses to stress in musicians [67] through monitoring heart rate as beats per minute (bpm), and studying stress and fatigue of first responders through ECG and continuous blood pressure monitoring in laboratory condition [68].…”

Section: Secs For Healthmentioning

confidence: 99%

Review on Smart Electro-Clothing Systems (SeCSs)

Sayem

Teay

Shahariar

et al. 2020

Sensors

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This review paper presents an overview of the smart electro-clothing systems (SeCSs) targeted at health monitoring, sports benefits, fitness tracking, and social activities. Technical features of the available SeCSs, covering both textile and electronic components, are thoroughly discussed and their applications in the industry and research purposes are highlighted. In addition, it also presents the developments in the associated areas of wearable sensor systems and textile-based dry sensors. As became evident during the literature research, such a review on SeCSs covering all relevant issues has not been presented before. This paper will be particularly helpful for new generation researchers who are and will be investigating the design, development, function, and comforts of the sensor integrated clothing materials.

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“…From the methodological point of view, the approach adopted in this study can be summarized by the diagram reported in Figure 1. It should be underlined that investigation of the driver's psychophysical state was performed in several previous studies [22][23][24][25][26][27][28][29][30][31]. The added value of this paper is an investigation into how this aspect influences driving activity, in particular, the probability that high levels of stress or relaxation could impact on-road safety issues, supporting a preventive approach for road safety analysis.…”

Section: Methodsmentioning

confidence: 87%

Analysis of the Relationship between Road Accidents and Psychophysical State of Drivers through Wearable Devices

et al. 2018

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A driver’s behavior and their psychophysical state are the most common causes of road accidents. The research presented in the paper proposes a method that allows the identification of highly dangerous road stretches/intersections in advance, based on the localization of stressful/relaxing situations measured on drivers. These were measured through the collection of physiological parameters using wearable devices. A correlation between stressful/relaxing situations and locations with high accident rates, based on a historical statistical database (black spots), was investigated. A series of driving tests was conducted in the city of Milan. The first set was mostly oriented to the research and validation of the parameters related to the driver’s psychophysical state. Subsequent tests allowed the definition of a correlation between black spots and relaxing/stressful areas. The results showed that the most stressful areas for drivers fell mainly within those with high accident rates. Furthermore, 80% of the most dangerous zones of the route were identified using this method, thus confirming the validity of the approach as a support tool for a priori preventive analysis for road safety. The wearable devices allowed the study and the integration of specific elements relating to human behavior in the field of road safety, which typically involves a technical-engineering approach.

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A Mobile Sensing Approach to Stress Detection and Memory Activation for Public Bus Drivers

Cited by 55 publications

References 42 publications

Ambulatory Assessment of Psychophysiological Stress among Police Officers: a Proof-of-Concept Study

Ambulatory Assessment of Psychophysiological Stress among Police Officers: a Proof-of-Concept Study

Review on Smart Electro-Clothing Systems (SeCSs)

Analysis of the Relationship between Road Accidents and Psychophysical State of Drivers through Wearable Devices

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