The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition

Kurz, Marc; Hölzl, Gerold; Ferscha, Alois; Calatroni, Alberto; Roggen, Daniel; Tröster, Gerhard; Sagha, Hesam; Chavarriaga, Ricardo; Millán, José del R.; Bannach, David; Kunze, Kai; Lukowicz, Paul

doi:10.2174/2210328711101020102

Cited by 14 publications

(27 citation statements)

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“…Similarly the development in ambient sensors to recognize the physical as well as cognitive aspects has progressed well beyond the video and audio streams analysis and has entered into implicit interaction paradigm [128,130]. General purpose sensing architectures have been developed, serving multi-purpose, multi-sensor, spontaneous and opportunistic sensing missions [66,[82][83][84].…”

Section: Exploiting Social Contextmentioning

confidence: 99%

Socio-inspired ICT

Ferscha

Farrahi

Hoven

et al. 2012

Eur. Phys. J. Spec. Top.

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Abstract. Modern ICT (Information and Communication Technology) has developed a vision where the "computer" is no longer associated with the concept of a single device or a network of devices, but rather the entirety of situated services originating in a digital world, which are perceived through the physical world. It is observed that services with explicit user input and output are becoming to be replaced by a computing landscape sensing the physical world via a huge variety of sensors, and controlling it via a plethora of actuators. The nature and appearance of computing devices is changing to be hidden in the fabric of everyday life, invisibly networked, and omnipresent, with applications greatly being based on the notions of context and knowledge. Interaction with such globe spanning, modern ICT systems will presumably be more implicit, at the periphery of human attention, rather than explicit, i.e. at the focus of human attention. Socio-inspired ICT assumes that future, globe scale ICT systems should be viewed as social systems. Such a view challenges research to identify and formalize the principles of interaction and adaptation in social systems, so as to be able to ground future ICT systems on those principles. This position paper therefore is concerned with the intersection of social behaviour and modern ICT, creating or recreating social conventions and social contexts through the use of pervasive, globe-spanning, omnipresent and participative ICT.

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Section: Exploiting Social Contextmentioning

confidence: 99%

Socio-inspired ICT

Ferscha

Farrahi

Hoven

et al. 2012

Eur. Phys. J. Spec. Top.

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“…To design and implement the locomotion and location recognition system, we utilized our approach of an opportunistic activity and context recognition system as presented in [6]. Using the opportunistic sensing approach has the benefit that our system is not pinned to a fixed and static sensing infrastructure to infer locomotion and location information.…”

Section: A Robust System Settingmentioning

confidence: 99%

“…To support the user in this task, we present an energy management system based on the opportunistic sensing approach presented in [6]. Using this approach, we are able to reduce the standby losses based on the location information of the user within the household, in combination with his/her current locomotions, but without forcing the user to explicitly switch a device on or off.…”

Section: Introductionmentioning

confidence: 99%

“…We utilize sensors in dynamic, varying environments to infer locomotion and location information. Using the opportunistic approach [6] allows us to break the chain of predefining a fixed sensing infrastructure at design time of the system. This is especially useful for the purpose of saving energy in households as the available sensing infrastructure changes over time.…”

Section: Introductionmentioning

confidence: 99%

“…The remaining paper is structured as follows; based on the opportunistic sensing approach described in [6], we have implemented an energy management system as a use case of an opportunistic system. The system utilizes users' location and locomotion information to reduce stand-by losses, and is described in detail in Section 2.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Locomotion@location

Hoelzl

Kurz

Halbmayer

et al. 2012

Proceedings of the 9th International Conference on Autonomic Computing

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Contextual information of persons can be comprised of a variety of different fragments. The sensor-based recognition of activities, which is one very important part of contextual information, is very well evaluated in laboratory surroundings with different sensor configurations. This paper presents the utilization of locomotion and location information inferred from sensor-readings in a real-world setting by applying a system that operates in an opportunistic and unobtrusive way. We let the rubber hit the road by exploiting locomotion and (in-door) location information in private households to optimize the energy consumption in terms of autonomous and implicit control of electronic appliances. By using onbody and environmental sensor devices, that are not presumably fixed, thus are accessed in an opportunistic manner, our system is able to safely control devices in terms of implicitly optimizing the energy consumption. We have conducted a field study in 15 households, where we have used the location and locomotion information of the residents to decide with a rule-based background intelligence, which electronic appliances can be safely turned off.

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Real-life Activity Recognition – Focus on Recognizing Reading Activities

Kunze

2014

Camera-Based Document Analysis and Recognition

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The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition

Cited by 14 publications

References 0 publications

Socio-inspired ICT

Socio-inspired ICT

Locomotion@location

Real-life Activity Recognition – Focus on Recognizing Reading Activities

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