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Assessing human emotional experience in pedestrian environments using wearable sensing and machine learning with anomaly detection
Research article (Transportation Research Part F Traffic Psychology and Behaviour, 2024) · cited 12× · AI/ML
Assessing human emotional experience in pedestrian environments using wearable sensing and machine learning with anomaly detection
Summary
Assessing human emotional experience in pedestrian environments using wearable sensing and machine learning with anomaly detection is a scholarly article[1].
Key Facts
Assessing human emotional experience in pedestrian environments using wearable sensing and machine learning with anomaly detection's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Assessing human emotional experience in pedestrian environments using wearable sensing and machine learning with anomaly detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessing-human-emotional-experience-in-pedestrian-environments-using-wearable-sensing-and-machine-learning-with-anomaly
MLA“Assessing human emotional experience in pedestrian environments using wearable sensing and machine learning with anomaly detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessing-human-emotional-experience-in-pedestrian-environments-using-wearable-sensing-and-machine-learning-with-anomaly.
BibTeX@misc{4ortxyz_assessing-human-emotional-experience-in-pedestrian-environments-using-wearable-sensing-and-machine-learning-with-anomaly_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessing human emotional experience in pedestrian environments using wearable sensing and machine learning with anomaly detection}}, year = {2026}, url = {https://4ort.xyz/entity/assessing-human-emotional-experience-in-pedestrian-environments-using-wearable-sensing-and-machine-learning-with-anomaly}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Assessing human emotional experience in pedestrian environments using wearable sensing and machine learning with anomaly detection — https://4ort.xyz/entity/assessing-human-emotional-experience-in-pedestrian-environments-using-wearable-sensing-and-machine-learning-with-anomaly (retrieved 2026-05-24)
