Capturing Environmental Distress of Pedestrians Using Multimodal Data: The Interplay of Biosignals and Image-Based Data

Kim, Jin-Woo; Nirjhar, Ehsanul Haque; Kim, Jaeyoon; Chaspari, Theodora; Ham, Youngjib; Winslow, Jane Futrell; Lee, Chanam

doi:10.1061/(asce)cp.1943-5487.0001009

Cited by 9 publications

(7 citation statements)

References 80 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such beds are difficult to process and weed. In addition, insects feed on weak plants and breed in such areas [6]. e plants in the outer rows are much healthier than the ones in the middle.…”

Section: Introductionmentioning

confidence: 99%

“…Mixed plantings perform a number of functions: protecting plants from diseases and pests, increasing yield per unit area, protecting the soil from unilateral deficiencies, and reducing weed numbers. Fruits and vegetables grown in the community with other species are tasty: mint enhances the taste of potatoes; parsley enhances the taste of tomatoes [6]. If you choose the right plants, they will help each other and make the owner happy.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of Microbiology Plantation-Based Multimodal Segmentation for Smart Garden Using Machine Learning

Prasath¹,

Govindaraj

Sasisekharan³

et al. 2022

Advances in Materials Science and Engineering

View full text Add to dashboard Cite

Normally, gardens lower the ambient temperature, which would improve air quality, absorb pollutants, and produce oxygen. Trees reduce soil erosion, increase fertility, and help retain soil moisture. Decomposed leaves that fall in the garden become nutrients for tree growth and help microbes to thrive. When it comes to growing trees in a garden, one should try and choose native trees that are naturally found in a particular area. These trees are well adapted to the environment and require less maintenance. Many insects and birds rely on native trees for food and shelter. Therefore, they are best for the environment. However, not all native trees are evergreen trees. Many evergreen trees can be planted in a small garden. In this paper, a microplantation-based model was developed to enhance the biological impacts for a smart garden. Based on the garden requirements, the smart system was constructed. On this basis, the seeds are planted in the soil.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of Microbiology Plantation-Based Multimodal Segmentation for Smart Garden Using Machine Learning

Prasath¹,

Govindaraj

Sasisekharan³

et al. 2022

Advances in Materials Science and Engineering

View full text Add to dashboard Cite

show abstract

“…Kitabayashi et al used heart rate as the biosignal and found out that pedestrians stress in walking are affected by the road congestion 31 . Additionally, pedestrians' physiological measures were also shown significantly correlated with certain urban features such as uneven sidewalks as well as subjective ratings of walkability 32,33 . Thus, combining physiological metrics within the IVE can help us better understand the effect of each pedestrian-centered design on road users.…”

Section: Introductionmentioning

confidence: 95%

Rethinking infrastructure design: Evaluating pedestrians and VRUs' psychophysiological and behavioral responses to different roadway designs

Guo¹,

Angulo²,

Tavakoli³

et al. 2022

Preprint

View full text Add to dashboard Cite

The integration of human-centric approaches has gained more attention recently due to more automated systems being introduced into our built environments (buildings, roads, vehicles, etc.), which requires a correct understanding of how humans perceive such systems and respond to them. This paper introduces an Immersive Virtual Environment-based method to evaluate the infrastructure design with psycho-physiological and behavioral responses from the vulnerable road users, especially for pedestrians. A case study of pedestrian mid-block crossings with three crossing infrastructure designs (painted crosswalk, crosswalk with flashing beacons, and a smartphone app for connected vehicles) are tested. Results from 51 participants indicate there are differences between the subjective and objective measurement. A higher subjective safety rating is reported for the flashing beacon design, while the psychophysiological and behavioral data indicate that the flashing beacon and smartphone app are similar in terms of crossing behaviors, eye tracking measurements, and heart rate. In addition, the smartphone app scenario appears to have a lower stress level as indicated by eye tracking data, although many participants don't have prior experience with it. Suggestions are made for the implementation of new technologies, which can increase public acceptance of new technologies and pedestrian safety in the future.

show abstract

“…Pedestrians’ biosignals contain unique information regarding their interactions with the built environment that offer valuable insight into the role of urban spaces 17 – 19 . Accordingly, biosignals have been used to assess the degree of distress felt by pedestrians associated with external stimuli while walking 20 – 22 . Data can be analyzed with regard to gender 7 , age 23 , and degree of disability 24 , offering more population-specific and objective evidence than existing techniques.…”

Section: Introductionmentioning

confidence: 99%

Location-based collective distress using large-scale biosignals in real life for walkable built environments

Kim

Nirjhar

Lee

et al. 2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

Biosignals from wearable sensors have shown great potential for capturing environmental distress that pedestrians experience from negative stimuli (e.g., abandoned houses, poorly maintained sidewalks, graffiti, and so forth). This physiological monitoring approach in an ambulatory setting can mitigate the subjectivity and reliability concerns of traditional self-reported surveys and field audits. However, to date, most prior work has been conducted in a controlled setting and there has been little investigation into utilizing biosignals captured in real-life settings. This research examines the usability of biosignals (electrodermal activity, gait patterns, and heart rate) acquired from real-life settings to capture the environmental distress experienced by pedestrians. We collected and analyzed geocoded biosignals and self-reported stimuli information in real-life settings. Data was analyzed using spatial methods with statistical and machine learning models. Results show that the machine learning algorithm predicted location-based collective distress of pedestrians with 80% accuracy, showing statistical associations between biosignals and the self-reported stimuli. This method is expected to advance our ability to sense and react to not only built environmental issues but also urban dynamics and emergent events, which together will open valuable new opportunities to integrate human biological and physiological data streams into future built environments and/or walkability assessment applications.

show abstract

Capturing Environmental Distress of Pedestrians Using Multimodal Data: The Interplay of Biosignals and Image-Based Data

Cited by 9 publications

References 80 publications

Development of Microbiology Plantation-Based Multimodal Segmentation for Smart Garden Using Machine Learning

Development of Microbiology Plantation-Based Multimodal Segmentation for Smart Garden Using Machine Learning

Rethinking infrastructure design: Evaluating pedestrians and VRUs' psychophysiological and behavioral responses to different roadway designs

Location-based collective distress using large-scale biosignals in real life for walkable built environments

Contact Info

Product

Resources

About