Automatic Recognition of Activities of Daily Living Utilizing Insole-Based and Wrist-Worn Wearable Sensors

Published on Jul 1, 2018in IEEE Journal of Biomedical and Health Informatics4.217
· DOI :10.1109/JBHI.2017.2734803
Nagaraj Hegde7
Estimated H-index: 7
(UA: University of Alabama),
Matthew Bries2
Estimated H-index: 2
(UA: University of Alabama)
+ 2 AuthorsEdward Sazonov27
Estimated H-index: 27
(UA: University of Alabama)
Automatic recognition of activities of daily living (ADL) is an important component in understanding of energy balance, quality of life, and other areas of health and well-being. In our previous work, we had proposed an insole-based activity monitor—SmartStep, designed to be socially acceptable and comfortable. The goals of the current study were: first, validation of SmartStep in recognition of a broad set of ADL; second, comparison of the SmartStep to a wrist sensor and testing these in combination; third, evaluation of SmartStep's accuracy in measuring wear noncompliance and a novel activity class (driving); fourth, performing the validation in free living against a well-studied criterion measure (ActivPAL, PAL Technologies); and fifth, quantitative evaluation of the perceived comfort of SmartStep. The activity classification models were developed from a laboratory study consisting of 13 different activities under controlled conditions. Leave-one-out cross validation showed 89% accuracy for the combined SmartStep and wrist sensor, 81% for the SmartStep alone, and 69% for the wrist sensor alone. When household activities were grouped together as one class, SmartStep performed equally well compared to the combination of SmartStep and wrist-worn sensor (90% versus 94%), whereas the accuracy of the wrist sensor increased marginally (73% from 69%). SmartStep achieved 92% accuracy in recognition of nonwear and 82% in recognition of driving. Participants then were studied for a day under free-living conditions. The overall agreement with ActivPAL was 82.5% (compared to 97% for the laboratory study). The SmartStep scored the best on the perceived comfort reported at the end of the study. These results suggest that insole-based activity sensors may present a compelling alternative or companion to commonly used wrist devices.
  • References (46)
  • Citations (17)
📖 Papers frequently viewed together
17 Citations
54 Citations
78% of Scinapse members use related papers. After signing in, all features are FREE.
Aug 1, 2016 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Nagaraj Hegde (UA: University of Alabama)H-Index: 7
#2Edward L. Melanson (Anschutz Medical Campus)H-Index: 40
Last. Edward Sazonov (UA: University of Alabama)H-Index: 27
view all 3 authors...
Footwear based activity monitoring systems are becoming popular in academic research as well as consumer industry segments. In our previous work, we had presented developmental aspects of an insole based activity and gait monitoring system-SmartStep, which is a socially acceptable, fully wireless and versatile insole. The present work describes the development of an Android application that captures the SmartStep data wirelessly over Bluetooth Low energy (BLE), computes features on the received ...
11 CitationsSource
#1Marco AltiniH-Index: 11
#2Julien Penders (IMEC)H-Index: 26
Last. Oliver Amft (University of Passau)H-Index: 33
view all 3 authors...
In this paper, we present a method to estimate oxygen uptake ( V{\rm O_2}) during daily life activities and transitions between them. First, we automatically locate transitions between activities and periods of nonsteady-state V{\rm O_2}. Subsequently, we propose and compare activity-specific linear functions to model steady-state activities and transition-specific nonlinear functions to model nonsteady-state activities and transitions. We evaluate our approach in study data from 22part...
8 CitationsSource
Monitoring the activities of daily living (ADLs) and detection of deviations from previous patterns is crucial to assessing the ability of an elderly person to live independently in their community and in early detection of upcoming critical situations. "Aging in place" for an elderly person is one key element in ambient assisted living (AAL) technologies.
56 CitationsSource
#1Ferhat AttalH-Index: 3
#2Samer MohammedH-Index: 18
Last. Yacine AmiratH-Index: 14
view all 6 authors...
This paper presents a review of different classification techniques used to recognize human activities from wearable inertial sensor data. Three inertial sensor units were used in this study and were worn by healthy subjects at key points of upper/lower body limbs (chest, right thigh and left ankle). Three main steps describe the activity recognition process: sensors’ placement, data pre-processing and data classification. Four supervised classification techniques namely, k-Nearest Neighbor (k-N...
181 CitationsSource
Nov 9, 2015 in BIBM (Bioinformatics and Biomedicine)
#1Nagaraj Hegde (UA: University of Alabama)H-Index: 7
#2Edward Sazonov (UA: University of Alabama)H-Index: 27
Insole based wearable sensors are becoming popular in applications such as gait and physical activity monitoring, energy expenditure estimation, in providing biofeedback, fall risk and others. In the existing systems, the insole needs to be taken out of the shoe to recharge the battery, which is not a convenient task. The existing systems are application specific and can be used for a limited purpose. However, the desired system functionality for the shoe based wearable systems depends on factor...
11 CitationsSource
#1Silvia GonzálezH-Index: 5
#2Javier SedanoH-Index: 11
Last. Bruno Baruque (UBU: University of Burgos)H-Index: 10
view all 6 authors...
Human Activity Recognition (HAR) is aimed at identifying current subject task performed by a person as a result of analyzing data from wearable sensors. HAR is a very challenging task that has been applied in different areas such as rehabilitation and localization. During the past ten years, plenty of models, number of sensors and sensor placements, and feature transformations have been reported for this task. From this bunch of previous ideas, what seems to be clear is that the very specific ap...
30 CitationsSource
#1Lili Tao (UoB: University of Bristol)H-Index: 11
#2Tilo Burghardt (UoB: University of Bristol)H-Index: 15
Last. Ian J Craddock (UoB: University of Bristol)H-Index: 27
view all 8 authors...
Monitoring actions at home can provide essential information for rehabilitation management. This paper presents a comparative study and a dataset for the fully automated, sample-accurate recognition of common home actions in the living room environment using commercial-grade, inexpensive inertial and visual sensors. We investigate the practical home-use of body-worn mobile phone inertial sensors together with an Asus Xmotion RGB-Depth camera to achieve monitoring of daily living scenarios. To te...
13 CitationsSource
#1Lin Yang (WashU: Washington University in St. Louis)H-Index: 9
#2Graham A. Colditz (WashU: Washington University in St. Louis)H-Index: 242
Overweight and obesity are associated with various chronic conditions.1 These conditions are considerable health care and societal burdens, yet could potentially be averted by preventing weight gain and obesity. In a prior analysis, now almost 20 years old, Must et al2 used a nationally representative data set from 1988 through 1994 and reported the US chronic disease burden associated with body mass index (BMI), thus informing clinical practice and the priorities for cost-effective prevention s...
128 CitationsSource
#1Edward Sazonov (UA: University of Alabama)H-Index: 27
#2Nagaraj Hegde (UA: University of Alabama)H-Index: 7
Last. Nadezhda Sazonova (UA: University of Alabama)H-Index: 11
view all 5 authors...
17 CitationsSource
An increase in world population along with a significant aging portion is forcing rapid rises in healthcare costs. The healthcare system is going through a transformation in which continuous monitoring of inhabitants is possible even without hospitalization. The advancement of sensing technologies, embedded systems, wireless communication technologies, nano technologies, and miniaturization makes it possible to develop smart systems to monitor activities of human beings continuously. Wearable se...
451 CitationsSource
Cited By17
#1Ignacio Rodríguez-Rodríguez (UMA: University of Málaga)
#2Purificación Heras-González (Universidad Miguel Hernández de Elche)H-Index: 1
Abstract Sadly, in 2020, sexual harassment and harassment on the grounds of sex are still a major social problem. In the digital era, these have acquired new aspects, but there are also new technological tools to fight against them. Usually public organizations have instruments to deal with these issues, but the presence of Information and Communication Technologies (ICT) is minimal if at all. In this paper, we will show the scarce presence of these new technological measures in universities, an...
#1Thinhinane Yebda (University of Bordeaux)
#2Jenny Benois-Pineau (University of Bordeaux)H-Index: 13
Last. Cathal Gurrin (DCU: Dublin City University)H-Index: 24
view all 5 authors...
view all 3 authors...
#1Daton MedenouH-Index: 1
Last. Thierry R. JossouH-Index: 1
view all 6 authors...
Benin health system is facing many challenges as: (i) affordable high-quality health care to a growing population providing need, (ii) patients’ hospitalization time reduction, (iii) and presence time of the nursing staff optimization. Such challenges can be solved by remote monitoring of patients. To achieve this, five steps were followed. 1) Identification of the Wireless Body Area Network (WBAN) systems’ characteristics and the patient physiological parameters’ monitoring. 2) The national Int...
Intimate Partner Violence (IPV) dramatically compromises the free and complete development of many women around the world, therefore leading to social asymmetry regarding the right to personal safety. In many cases, a woman who has reported her partner to police for gender-based violence needs to ensure her protection (either before the trial of the aggressor or after their freedom). Thus, it would be ideal if autonomous alarm systems could be developed in order to call the police if necessary. ...
#1Majid Ali Khan Quaid (Air University (Islamabad))H-Index: 3
#2Ahmad Jalal (Air University (Islamabad))H-Index: 23
Human behavior pattern recognition (BPR) from accelerometer signals is a challenging problem due to variations in signal durations of different behaviors. Analysis of human behaviors provides in depth observations of subject’s routines, energy consumption and muscular stress. Such observations hold key importance for the athletes and physically ailing humans, who are highly sensitive to even minor injuries. A novel idea having variant of genetic algorithm is proposed in this paper to solve compl...
3 CitationsSource
#1Muhammad Moid Sandhu (UQ: University of Queensland)H-Index: 2
#2Kai Geissdoerfer (TUD: Dresden University of Technology)H-Index: 1
Last. Brano Kusy (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 7
view all 6 authors...
Conventional systems for motion context detection rely on batteries to provide the energy required for sampling a motion sensor. Batteries, however, have limited capacity and, once depleted, have to be replaced or recharged. Kinetic Energy Harvesting (KEH) allows to convert ambient motion and vibration into usable electricity and can enable batteryless, maintenance free operation of motion sensors. The signal from a KEH transducer correlates with the underlying motion and may thus directly be us...
2 Citations
#1Diliang ChenH-Index: 3
#2Yi CaiH-Index: 2
Last. Ming-Chun HuangH-Index: 14
view all 7 authors...
With the development of the Internet of Things (IoT), wearable technologies have been proposed to measure gait parameters in everyday life. However, since both diseases and activities could influence gait patterns, clinicians cannot use the measured gait parameters for clinical applications without knowing the corresponding activities. To address this problem, a novel gait analysis method—“gait analysis in terms of activities of daily living (ADLs)”—was proposed based on a wearable Smart Insole ...
#1Adwitiya Mukhopadhyay (Amrita Vishwa Vidyapeetham)H-Index: 2
#2Sreenadh M (Amrita Vishwa Vidyapeetham)
Last. Anoop A (Amrita Vishwa Vidyapeetham)
view all 3 authors...
eHealth is an enhancement of healthcare with technological advancements and information processing. As new technologies arose, such as advanced smartphones and electronic wearable devices which helps to measure various health parameters, the term mHealth was coined. mHealth is a sub category of eHealth in which the smartphones and IoT devices aid in healthcare. The role of information technology in the medical field has seen increased importance in the recent years thereby evolving in to the fie...
#1Yang YangH-Index: 30
#2Xiliang LuoH-Index: 12
Last. Ming-Tuo ZhouH-Index: 12
view all 4 authors...
One typical fog-enabled intelligent IoT system is the smart home, where each smart appliance/device is able to connect to the Internet and carry out some computing tasks. Each appliance/device can be viewed as an IoT node. These IoT nodes form a local network. To enable the home to better understand the humans and subsequently respond correctly, an efficient and secure human machine interact technology is necessary. Conventional remote controls are extremely inconvenient due to the larger number...