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Use of Connected Technologies to Assess Barriers and Stressors for Age and Disability-Friendly Communities
7 references·5 citing·49 second hop
Use of Connected Technologies to Assess Barriers and Stressors for Age and Disability-Friendly Communities (2021)Use of Connected Technologies to Assess B…Wearable Biosensor and Hotspot Analysis–Based Framework to Detect Stress Hotspots for Advancing Elderly’s Mobility (2020)Wearable Biosensor and Hotspo…The influence of built environment features on crowdsourced physiological responses of pedestrians in neighborhoods (2019)The influence of built enviro…Stress detection in daily life scenarios using smart phones and wearable sensors: A survey (2019)Stress detection in daily lif…Neighborhood environments influence emotion and physiological reactivity (2019)Neighborhood environments inf…How transport modes, the built and natural environments, and activities influence mood: A GPS smartphone app study (2019)How transport modes, the buil…What features of the built environment matter most for mobility? Using wearable sensors to capture real-time outdoor environment demand on gait performance (2018)What features of the built en…Using Walk Score™ and Neighborhood Perceptions to Assess Walking Among Middle-Aged and Older Adults (2016)Using Walk Score™ and Neighbo…Exploring the Impact of Smart Mobility and ICT Solutions on Older Adults’ Mobility: A Systematic Literature Review (2024)Exploring the Impact of Smart…Sensor-based detection of individual walkability perception to promote healthy communities (2023)Sensor-based detection of ind…Location-based collective distress using large-scale biosignals in real life for walkable built environments (2023)Location-based collective dis…Two-Step k-means Clustering Based Information Entropy for Detecting Environmental Barriers Using Wearable Sensor (2022)Two-Step k-means Clustering B…How street quality influences the walking experience: an inquiry into the perceptions of adults with diverse ages and disabilities (2021)How street quality influences…Participation Rates in Epidemiologic Studies (2007)Built Environment Correlates of Walking (2008)Role of Built Environments in Physical Activity, Obesity, and Cardiovascular Disease (2012)Mapping walkability. 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this work references cited by second hop

References

  • 2019Stress detection in daily life scenarios using smart phones and wearable sensors: A survey479 cited
  • 2020Wearable Biosensor and Hotspot Analysis–Based Framework to Detect Stress Hotspots for Advancing Elderly’s Mobility64 cited
  • 2016Using Walk Score™ and Neighborhood Perceptions to Assess Walking Among Middle-Aged and Older Adults64 cited
  • 2019How transport modes, the built and natural environments, and activities influence mood: A GPS smartphone app study63 cited
  • 2019Neighborhood environments influence emotion and physiological reactivity62 cited
  • 2019The influence of built environment features on crowdsourced physiological responses of pedestrians in neighborhoods48 cited
  • 2018What features of the built environment matter most for mobility? Using wearable sensors to capture real-time outdoor environment demand on gait performance40 cited

Cited by

  • 2023Location-based collective distress using large-scale biosignals in real life for walkable built environments14 cited
  • 2021How street quality influences the walking experience: an inquiry into the perceptions of adults with diverse ages and disabilities11 cited
  • 2024Exploring the Impact of Smart Mobility and ICT Solutions on Older Adults’ Mobility: A Systematic Literature Review11 cited
  • 2022Two-Step k-means Clustering Based Information Entropy for Detecting Environmental Barriers Using Wearable Sensor9 cited
  • 2023Sensor-based detection of individual walkability perception to promote healthy communities3 cited

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