Activities of daily living

Morgan, Steve

doi:10.1007/978-3-662-26531-4_7

Cited by 1 publication

(1 citation statement)

References 4 publications

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“…Examples of ADLs include activities related to personal appearance and hygiene, domestic skills, household management, family and child care, conversational and social skills, and leisure, education, training and work activities [6]. Several sensors, including the accelerometer, gyroscope, magnetometer, communication, proximity, light, gravity, RFID (Radio-Frequency IDentification) sensors, GPS (Global Positioning System) receiver, microphone and camera, may be used to detect when a person is having/preparing a meal, washing up, bathing, waking up, sleeping, standing, sitting, watching TV, using the phone, doing chores, cycling, jogging or perform other activities [7][8][9][10].…”

Section: Identification Of Adlsmentioning

confidence: 99%

Identification of Activities of Daily Living Using Sensors Available in off-the-shelf Mobile Devices: Research and Hypothesis

Pires

García

Flórez-Revuelta³

2016

Advances in Intelligent Systems and Computing

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This paper presents a PhD project related to the identification of a set of Activities of Daily Living (ADLs) using different techniques applied to the sensors available in off-the-shelf mobile devices. This project consists on the creation of new methodologies, to identify ADLs, and to present some concepts, such as definition of the set of ADLs relevant to be identified, the mobile device as a multi-sensor system, review of the best techniques for data acquisition, data processing, data validation, data imputation, and data fusion processes, and creation of the methods for the identification of ADLs with data mining, pattern recognition and/or machine learning techniques. However, mobile devices present several limitations, therefore techniques at each stage have to be adapted. As result I.M. Pires() · N.M. Garcia · N. Pombo

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