2012 IEEE 21st International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2012
ABSTRACT There is a need for event organizers and emergency response personnel to detect emerging... more ABSTRACT There is a need for event organizers and emergency response personnel to detect emerging, potentially critical crowd situations at an early stage during city-wide mass gatherings. In this work, we introduce and describe mathematical methods based on pedestrian-behavior models to infer and visualize crowd conditions from pedestrians' GPS location traces. We tested our approach during the 2011 Lord Mayor's Show in London by deploying a system able to infer and visualize in real-time crowd density, crowd turbulence, crowd velocity and crowd pressure. To collection location updates from festival visitors, a mobile phone app that supplies the user with event-related information and periodically logs the device's location was distributed. We collected around four million location updates from over 800 visitors. The City of London Police consulted the crowd condition visualization to monitor the event. As an evaluation of the usefulness of our approach, we learned through interviews with police officers that our approach helps to assess occurring crowd conditions and to spot critical situations faster compared to the traditional video-based methods. With that, appropriate measure can be deployed quickly helping to resolve a critical situation at an early stage.
Abstract. A robust activity and context-recognition system must be capable of operating over a lo... more Abstract. A robust activity and context-recognition system must be capable of operating over a long period of time, exploiting new sources of information as they become available and evolving in an autonomous manner, coping with user variability and changes in the number and ...
2009 International Symposium on Wearable Computers, 2009
Snowboarding is one of the fastest growing sports in the world. However, it is rather difficult t... more Snowboarding is one of the fastest growing sports in the world. However, it is rather difficult to learn. Snowboarders, who have reached an average level of expertise, often find it difficult to improve their style without taking expensive private lessons. Moreover, some of their ...
ABSTRACT Flying is exciting - but can also be exhausting or even harmful. Dehydration due to dry ... more ABSTRACT Flying is exciting - but can also be exhausting or even harmful. Dehydration due to dry air and lack of movement promote the development of deep vein thrombosis (DVT). Moreover, many passengers feel uneasy in airplanes whereas some even experience severe anxiety attacks. Within the EU project SEAT, we developed pervasive sensing technologies and integrated them into an airplane seat. They allow to sense physiological parameters related to the passenger’s comfort and affective state. This video shows how pervasive computing can provide support to airplane passengers, right when they need it.
ABSTRACT A real-time understanding of the behavior of pedestrian crowds in physical spaces is imp... more ABSTRACT A real-time understanding of the behavior of pedestrian crowds in physical spaces is important for crowd monitoring and management during large-scale mass gatherings. Thanks to the proliferation of location-aware smartphones in our society, we see a big potential in inferring crowd behavior patterns by tracking the location of attendees via their mobile phones. This chapter describes a framework to infer and visualize crowd behavior patterns in real-time, using a specially developed smartphone app. Attendees at an event voluntarily provide their location updates and in return may receive timely, targeted and personalized notifications directly from the security personnel which can be of help during an emergency situation. Users also have access to event-related information including travel advice to the location. We conducted a systems trial during the Lord Mayor’s Show 2011 in London, UK and the Notte Bianca festival 2011 in Valletta, Malta. In this chapter, besides verifying the technological feasibility, we report on interviews conducted with app users and police forces that were accessing the monitoring tools during the event. We learned from both sides that the created feedback loop between the attendees of the event running the app and the security personnel is seen as a strong incentive to follow such a participatory sensing approach. The researchers worked closely with policy makers, the emergency services and event organisers and policy implications of using the Socionical App will be discussed; as well as the response of users to being guided by an AmI device during a possible emergency.
There is a need for event organizers and emergency response personnel to detect emerging, potenti... more There is a need for event organizers and emergency response personnel to detect emerging, potentially critical crowd situations at an early stage during city-wide mass gatherings. In this work, we present a framework to infer and visualize crowd behavior patterns in real-time from pedestrians’ GPS location traces. We deployed and tested our framework during the 2011 Lord Mayor’s Show in London. To collection location updates from festival visitors, a mobile phone app that supplies the user with event-related information and periodically logs the device’s location was distributed. We collected around four million location updates from over 800 visitors. The City of London Police consulted the crowd condition visualization to monitor the event. We learned from the police officers that our framework helps to assess occurring crowd conditions and to spot critical situations faster compared to the traditional video-based methods. With that, appropriate measure can be deployed quickly helping to resolve a critical situation at an early stage.
Summary Objectives: In this work the effect of quasi-stationary movements on the electrodermal ac... more Summary Objectives: In this work the effect of quasi-stationary movements on the electrodermal activity (EDA) after a startle event has been investigated and evaluated. In previous EDA research there is a discrepancy between the use of controlled environment studies and daily life surveys. This paper aims to address this by expanding the knowledge about EDA in real life applications. Methods: A minimally obtrusive body-worn measurement device was designed and produced that simultaneously records EDA and finger movements. During this study, five subjects walked at different speeds and listened to startling sound events. The EDA response to these startle events was analyzed for different walking speeds using crosscorrelograms and cumulative frequency plots. Results: The measured response to the startle event is consistent with the signal characteristics described in the literature. The results show that the faster a person is walking the more the signal property of the phasic part of ...
2012 IEEE 21st International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2012
ABSTRACT There is a need for event organizers and emergency response personnel to detect emerging... more ABSTRACT There is a need for event organizers and emergency response personnel to detect emerging, potentially critical crowd situations at an early stage during city-wide mass gatherings. In this work, we introduce and describe mathematical methods based on pedestrian-behavior models to infer and visualize crowd conditions from pedestrians' GPS location traces. We tested our approach during the 2011 Lord Mayor's Show in London by deploying a system able to infer and visualize in real-time crowd density, crowd turbulence, crowd velocity and crowd pressure. To collection location updates from festival visitors, a mobile phone app that supplies the user with event-related information and periodically logs the device's location was distributed. We collected around four million location updates from over 800 visitors. The City of London Police consulted the crowd condition visualization to monitor the event. As an evaluation of the usefulness of our approach, we learned through interviews with police officers that our approach helps to assess occurring crowd conditions and to spot critical situations faster compared to the traditional video-based methods. With that, appropriate measure can be deployed quickly helping to resolve a critical situation at an early stage.
Abstract. A robust activity and context-recognition system must be capable of operating over a lo... more Abstract. A robust activity and context-recognition system must be capable of operating over a long period of time, exploiting new sources of information as they become available and evolving in an autonomous manner, coping with user variability and changes in the number and ...
2009 International Symposium on Wearable Computers, 2009
Snowboarding is one of the fastest growing sports in the world. However, it is rather difficult t... more Snowboarding is one of the fastest growing sports in the world. However, it is rather difficult to learn. Snowboarders, who have reached an average level of expertise, often find it difficult to improve their style without taking expensive private lessons. Moreover, some of their ...
ABSTRACT Flying is exciting - but can also be exhausting or even harmful. Dehydration due to dry ... more ABSTRACT Flying is exciting - but can also be exhausting or even harmful. Dehydration due to dry air and lack of movement promote the development of deep vein thrombosis (DVT). Moreover, many passengers feel uneasy in airplanes whereas some even experience severe anxiety attacks. Within the EU project SEAT, we developed pervasive sensing technologies and integrated them into an airplane seat. They allow to sense physiological parameters related to the passenger’s comfort and affective state. This video shows how pervasive computing can provide support to airplane passengers, right when they need it.
ABSTRACT A real-time understanding of the behavior of pedestrian crowds in physical spaces is imp... more ABSTRACT A real-time understanding of the behavior of pedestrian crowds in physical spaces is important for crowd monitoring and management during large-scale mass gatherings. Thanks to the proliferation of location-aware smartphones in our society, we see a big potential in inferring crowd behavior patterns by tracking the location of attendees via their mobile phones. This chapter describes a framework to infer and visualize crowd behavior patterns in real-time, using a specially developed smartphone app. Attendees at an event voluntarily provide their location updates and in return may receive timely, targeted and personalized notifications directly from the security personnel which can be of help during an emergency situation. Users also have access to event-related information including travel advice to the location. We conducted a systems trial during the Lord Mayor’s Show 2011 in London, UK and the Notte Bianca festival 2011 in Valletta, Malta. In this chapter, besides verifying the technological feasibility, we report on interviews conducted with app users and police forces that were accessing the monitoring tools during the event. We learned from both sides that the created feedback loop between the attendees of the event running the app and the security personnel is seen as a strong incentive to follow such a participatory sensing approach. The researchers worked closely with policy makers, the emergency services and event organisers and policy implications of using the Socionical App will be discussed; as well as the response of users to being guided by an AmI device during a possible emergency.
There is a need for event organizers and emergency response personnel to detect emerging, potenti... more There is a need for event organizers and emergency response personnel to detect emerging, potentially critical crowd situations at an early stage during city-wide mass gatherings. In this work, we present a framework to infer and visualize crowd behavior patterns in real-time from pedestrians’ GPS location traces. We deployed and tested our framework during the 2011 Lord Mayor’s Show in London. To collection location updates from festival visitors, a mobile phone app that supplies the user with event-related information and periodically logs the device’s location was distributed. We collected around four million location updates from over 800 visitors. The City of London Police consulted the crowd condition visualization to monitor the event. We learned from the police officers that our framework helps to assess occurring crowd conditions and to spot critical situations faster compared to the traditional video-based methods. With that, appropriate measure can be deployed quickly helping to resolve a critical situation at an early stage.
Summary Objectives: In this work the effect of quasi-stationary movements on the electrodermal ac... more Summary Objectives: In this work the effect of quasi-stationary movements on the electrodermal activity (EDA) after a startle event has been investigated and evaluated. In previous EDA research there is a discrepancy between the use of controlled environment studies and daily life surveys. This paper aims to address this by expanding the knowledge about EDA in real life applications. Methods: A minimally obtrusive body-worn measurement device was designed and produced that simultaneously records EDA and finger movements. During this study, five subjects walked at different speeds and listened to startling sound events. The EDA response to these startle events was analyzed for different walking speeds using crosscorrelograms and cumulative frequency plots. Results: The measured response to the startle event is consistent with the signal characteristics described in the literature. The results show that the faster a person is walking the more the signal property of the phasic part of ...
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