Event-based smartphone sensor processing for ambient assisted living

Dunkel, Jürgen; Bruns, Ralf; Stipkovic, Sebastian

doi:10.1109/isads.2013.6513422

Cited by 23 publications

(11 citation statements)

References 9 publications

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“…Of course, as well evidenced by the brief review of the state of the art on currently available approaches for ADL detection presented in the following, mandatory features of such monitoring systems are the reliability and the user acceptability. Different approaches have been proposed to develop systems to assess the human posture [2], [3] and to detect ADL and falls in the Ambient Assisted Living (AAL) context, such as customized devices [4]- [6] and smartphone-based platforms [7]- [14]. An extensive review of fall detection systems, including comparisons among different approaches, is available in [15].…”

Section: Introductionmentioning

confidence: 99%

“…Despite a number of interesting solutions for ADL monitoring, which exploit smartphone sensing and processing facilities [7], [10], [11], are available in the literature, it could appear that smartphone-based assistive systems are not fully accepted by elderly people because they need to be aware of their use [15]. Anyway, since ADL detectors (including smartphone-based solutions) do not require user interaction, fully based smartphone solutions, which can be conveniently positioned on the user body, represent a promising way to perform such monitoring task.…”

Section: Introductionmentioning

confidence: 99%

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An Event Polarized Paradigm for ADL Detection in AAL Context

Andò

Baglio

Lombardo

et al. 2015

IEEE Trans. Instrum. Meas.

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The possibility to detect activities of daily living (ADLs), with particular regards to fall detection, is mandatory to implement a rigorous remote monitoring of frail people. Actually, unintentional falls cause a lot of hospitalizations and may lead to serious consequence due to long-lie happenings. Moreover, the ability to properly classify different kinds of falls could represent a strategic diagnostic tool. The widespread use of smartphones equipped with many embedded sensors would represent a suitable solution for ADL monitoring, especially for the future generation of elderly. The activity presented through this paper focuses on the development of a fully smartphonebased ADL detector, which uses an advanced classification paradigm to discriminate between different kinds of falls. The sensitivity and specificity features of the system are in line with the real needs of the Ambient Assisted Living context. Index Terms-Activities of daily living (ADLs), Ambient Assisted Living (AAL), fall detection, principal component analysis (PCA), sensors, smartphone, threshold algorithm (TA). 0018-9456

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Event Polarized Paradigm for ADL Detection in AAL Context

Andò

Baglio

Lombardo

et al. 2015

IEEE Trans. Instrum. Meas.

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“…Falling, which is one of the main causes of trauma among older people, stair negotiation, user posture are just few examples of daily activities and a reliable monitoring of ADL by using poor invasive and easy to use devices would really change the way of achieving awareness on the user status thus reducing times for the implementation of emergency activities. Different approaches have been proposed to develop systems for ADL detection in the Ambient Assisted Living contexts, such as customized devices [1,2], smartphone based platforms [3][4][5][6][7][8][9][10]. Customized solutions, such as systems presented in [1,2], present sounding performances.…”

Section: Introductionmentioning

confidence: 99%

“…The possibility to use smartphone sensing features and complex event processing paradigm for downfall detection is investigated in [3]. Advanced paradigms to process smartphone gyroscope and accelerometer signals to estimate trunk position during bipedal in remote rehabilitation context are presented in [4].…”

Section: Introductionmentioning

confidence: 99%

An event polarized paradigm for ADL detection in AAL context

Andò¹,

Baglio²,

Lombardo³

et al. 2014

2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings

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The monitoring of Activities of Daily Living (ADL) is a fundamental task to implement a rigorous remote monitoring of weak users with particular regards to falls. Actually, unintentional falls cause a lot of hospitalizations and could produce serious consequence due to long-lie happenings. The widespread use of smartphones associated with the wide variety of embedded sensors would represent a suitable solution for ADL monitoring. This paper faces the development of fully smartphone based ADL detector which uses advanced signal processing to provide useful and reliable information for the efficient implementation of remote elderly monitoring. The developed strategy allows for ADL classification with sensitivity and specificity features in line with real applications in Ambient Assistive Living (AAL) context.

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“…Conversely, some of the features of smartphones like automatic dialing and powerful signal processing are very strategic for the implementation of ADL monitoring. 37,40 Dunkel et al 37 have addressed the use of smartphones and complex processing paradigms for downfall detection. A smartphone-based architecture for monitoring of human physical activities and its application to assist frail people is described in Franco et al; 38 the possibility to estimate trunk position during bipedal stance in remote rehabilitation contexts, by exploiting signals from a gyroscope and an accelerometer embedded in a smartphone, is addressed by …”

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confidence: 99%

Smart homecare technologies for the visually impaired: recent advances

Andò¹,

Lombardo²,

Marletta³

2014

SHTT

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Accessibility and autonomy are fundamental needs for people with visual impairments wishing to enjoy their rights as citizens and to access buildings, premises, and other facilities. Dealing with the possibility of autonomously performing activities of daily living, two main aspects are mandatory: autonomous mobility and living independently. In particular, dealing with autonomous accessibility is strictly related to the possibility to perceive the environment and to gain a realistic and intuitive awareness of ongoing events and hazards. In order to promote living independently, caregivers (whether relatives or assistive services) need to be aware of the user's physical surroundings. The literature is rich in attempts to provide technical solutions to improve quality of life and autonomy for frail people, particularly with regard to the visually impaired. This review summarizes "state of the art" electronic aids for the visually impaired, and aims to to highlight the benefits and drawbacks of these aids.

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Event-based smartphone sensor processing for ambient assisted living

Cited by 23 publications

References 9 publications

An Event Polarized Paradigm for ADL Detection in AAL Context

An Event Polarized Paradigm for ADL Detection in AAL Context

An event polarized paradigm for ADL detection in AAL context

Smart homecare technologies for the visually impaired: recent advances

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