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Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes

Biomedical engineering online, 2018-11, Vol.17 (Suppl 1), p.132-132, Article 132

2018

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An intelligent knowledge system for designing, modeling, and recognizing the behavior of elderly people in smart space

Journal of ambient intelligence and humanized computing, 2020-12, Vol.11 (12), p.6059-6075

2020

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Physical activity and low back pain: a systematic review of recent literature

European spine journal, 2011-06, Vol.20 (6), p.826-845

2011

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A review of machine learning-based human activity recognition for diverse applications

Neural computing & applications, 2022-11, Vol.34 (21), p.18289-18324

2022

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A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects

Multimedia tools and applications, 2024, Vol.83 (1), p.1965-2005

2024

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Semantic segmentation of real-time sensor data stream for complex activity recognition

Personal and ubiquitous computing, 2017-06, Vol.21 (3), p.411-425

2017

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Advanced Sensing and Human Activity Recognition in Early Intervention and Rehabilitation of Elderly People

Journal of population ageing, 2020-06, Vol.13 (2), p.139-165

2020

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LAUDES Study: impact of digital ulcers on hand functional limitation, work productivity and daily activities, in systemic sclerosis patients

Rheumatology international, 2019-11, Vol.39 (11), p.1875-1882

2019

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Deep neural networks for wearable sensor-based activity recognition in Parkinson's disease: investigating generalizability and model complexity

Biomedical engineering online, 2024-02, Vol.23 (1), p.17-17, Article 17

2024

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In-depth analysis of design & development for sensor-based human activity recognition system

Multimedia tools and applications, 2023-09, Vol.83 (29), p.73233-73272

2023

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The Future of Human Activity Recognition: Deep Learning or Feature Engineering?

Neural processing letters, 2021-02, Vol.53 (1), p.561-579

2021

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Hybrid deep learning approaches for smartphone sensor-based human activity recognition

Multimedia tools and applications, 2021-11, Vol.80 (28-29), p.35585-35604

2021

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Literature Review on Transfer Learning for Human Activity Recognition Using Mobile and Wearable Devices with Environmental Technology

SN computer science, 2020-03, Vol.1 (2), p.66, Article 66

2020

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Sensors and Machine Learning Algorithms for Location and POSTURE Activity Recognition in Smart Environments

Automatic control and computer sciences, 2024-02, Vol.58 (1), p.33-42

2024

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Employing entropy measures to identify visitors in multi-occupancy environments

Journal of ambient intelligence and humanized computing, 2022-02, Vol.13 (2), p.1093-1106

2022

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Human Activity Behavioural Pattern Recognition in Smart Home with Long-Hour Data Collection

SN computer science, 2023-11, Vol.4 (6), p.864, Article 864

2023

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User identification using deep learning and human activity mobile sensor data

International journal of information security, 2023-02, Vol.22 (1), p.289-301

2023

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Clustering of human activities from emerging movements

Journal of ambient intelligence and humanized computing, 2019-09, Vol.10 (9), p.3505-3517

2019

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Interpreting human activity from electrical consumption data using reconfigurable hardware and hidden Markov models

Journal of ambient intelligence and humanized computing, 2017-08, Vol.8 (4), p.469-483

2017

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Recognition of vision-based activities of daily living using linear predictive coding of histogram of directional derivative

Journal of ambient intelligence and humanized computing, 2019-01, Vol.10 (1), p.199-214

2019

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"We clean our houses, prepare for weddings and go to funerals": daily lives of elderly Africans in Majaneng, South Africa

Journal of cross-cultural gerontology, 2007-12, Vol.22 (4), p.323-337

2007

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A prevalence survey of every-day activities in pregnancy

BMC pregnancy and childbirth, 2010-08, Vol.10 (1), p.41-41, Article 41

2010

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Consequences of chronic diseases and other limitations associated with old age - a scoping review

BMC public health, 2019-11, Vol.19 (1), p.1431-1431, Article 1431

2019

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A survey on robotic devices for upper limb rehabilitation

Journal of neuroengineering and rehabilitation, 2014-01, Vol.11 (1), p.3-3, Article 3

2014

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The contribution of frailty, cognition, activity of daily life and comorbidities on outcome in acutely admitted patients over 80 years in European ICUs: the VIP2 study

Intensive care medicine, 2020-01, Vol.46 (1), p.57-69

2020

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Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes

An intelligent knowledge system for designing, modeling, and recognizing the behavior of elderly people in smart space

Physical activity and low back pain: a systematic review of recent literature

A review of machine learning-based human activity recognition for diverse applications

A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects

Semantic segmentation of real-time sensor data stream for complex activity recognition

Advanced Sensing and Human Activity Recognition in Early Intervention and Rehabilitation of Elderly People

LAUDES Study: impact of digital ulcers on hand functional limitation, work productivity and daily activities, in systemic sclerosis patients

Deep neural networks for wearable sensor-based activity recognition in Parkinson's disease: investigating generalizability and model complexity

In-depth analysis of design & development for sensor-based human activity recognition system

The Future of Human Activity Recognition: Deep Learning or Feature Engineering?

Hybrid deep learning approaches for smartphone sensor-based human activity recognition

Literature Review on Transfer Learning for Human Activity Recognition Using Mobile and Wearable Devices with Environmental Technology

Sensors and Machine Learning Algorithms for Location and POSTURE Activity Recognition in Smart Environments

Employing entropy measures to identify visitors in multi-occupancy environments

Human Activity Behavioural Pattern Recognition in Smart Home with Long-Hour Data Collection

User identification using deep learning and human activity mobile sensor data

Clustering of human activities from emerging movements

Interpreting human activity from electrical consumption data using reconfigurable hardware and hidden Markov models

Recognition of vision-based activities of daily living using linear predictive coding of histogram of directional derivative

"We clean our houses, prepare for weddings and go to funerals": daily lives of elderly Africans in Majaneng, South Africa

A prevalence survey of every-day activities in pregnancy

Consequences of chronic diseases and other limitations associated with old age - a scoping review

A survey on robotic devices for upper limb rehabilitation

The contribution of frailty, cognition, activity of daily life and comorbidities on outcome in acutely admitted patients over 80 years in European ICUs: the VIP2 study

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