Goal-oriented sensor selection for intelligent phones

Koltunova, Veronika; Hoey, Jesse; Grzes, Marek

doi:10.1145/2030045.2030063

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…In fact, the POMDP can also be easily modified so it must explicitly query sensors (rather than being forced to query all sensors at each time step). The POMDP can implement a decision-theoretic trade-off in this case, choosing the most in expensive sensor to use that will give it sufficient information to accomplish its goals [Koltunova et al 2011].…”

Section: Syndetic Assistance Processes: Snapmentioning

confidence: 99%

People, sensors, decisions

Hoey

Boutilier

Poupart

et al. 2012

ACM Trans. Interact. Intell. Syst.

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The ratio of healthcare professionals to care recipients is dropping at an alarming rate, particularly for the older population. It is estimated that the number of persons with Alzheimer's disease, for example, will top 100 million worldwide by the year 2050 [Alzheimer's Disease International 2009]. It will become harder and harder to provide needed health services to this population of older adults. Further, patients are becoming more aware and involved in their own healthcare decisions. This is creating a void in which technology has an increasingly important role to play as a tool to connect providers with recipients. Examples of interactive technologies range from telecare for remote regions to computer games promoting fitness in the home. Currently, such technologies are developed for specific applications and are difficult to modify to suit individual user needs. The future potential economic and social impact of technology in the healthcare field therefore lies in our ability to make intelligent devices that are customizable by healthcare professionals and their clients, that are adaptive to users over time, and that generalize across tasks and environments.A wide application area for technology in healthcare is for assistance and monitoring in the home. As the population ages, it becomes increasingly dependent on chronic healthcare, such as assistance for tasks of everyday life (washing, cooking, dressing), medication taking, nutrition, and fitness. This article will present a summary of work over the past decade on the development of intelligent systems that provide assistance to persons with cognitive disabilities. These systems are unique in that they are all built using a common framework, a decision-theoretic model for general-purpose assistance in the home. In this article, we will show how this type of general model can be applied to a range of assistance tasks, including prompting for activities of daily living, assistance for art therapists, and stroke rehabilitation. This model is a Partially Observable Markov Decision Process (POMDP) that can be customized by end-users, that can integrate complex sensor information, and that can adapt over time. These three characteristics of the POMDP model will allow for increasing uptake and long-term efficiency and robustness of technology for assistance.

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Section: Syndetic Assistance Processes: Snapmentioning

confidence: 99%

People, sensors, decisions

Hoey

Boutilier

Poupart

et al. 2012

ACM Trans. Interact. Intell. Syst.

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“…The system can use its built-in text-to-speech system to prompt, can display photos of known locations, or can send SMS messages. It is also possible to have the POMDP model be aware of the cost of querying sensors, and be able to make decisions about which sensors to get information from in which states [14].…”

Section: Mobile Implementationmentioning

confidence: 99%

LaCasa: Location And Context-Aware Safety Assistant

Hoey¹,

Yang²,

Quintana³

et al. 2012

Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare

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Abstract-Wandering is a common behavior among people with dementia (PwD). It is also one of the main concerns of caregivers since it can cause the person to get lost and injured. The frequency and manner in which a person wanders is highly influenced by the person's background and contextual factors specific to the situation. In this paper we investigate some of the properties of wandering behaviours, particularly related to our ability to sense them with mobile devices. We then propose a novel decision-theoretic model that estimates the risk faced by the PwD and decides on the appropriate action to take, such as prompting the PwD or calling the caregiver. The model can be tailored to the user needs (e.g. known locations, level of cognitive decline) and takes into account uncertainty, and contextual information gathered from sensors, such as current location, noise, and proximity to the caregiver. A preliminary version of the system has been instantiated in a wandering assistance application for mobile devices running on an Android platform.

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“…The workshop received 16 submissions, from which 6 papers were accepted as short papers, and 6 papers were selected as full papers [1][2][3][4][5][6][7][8][9][10][11][12]. The papers were accepted after a review process by 2-3 reviewers.…”

Section: Workhop Detailsmentioning

confidence: 99%