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206 Results Found

  • Article
  • Open Access
31 Citations
8,765 Views
15 Pages

A Lightweight Hierarchical Activity Recognition Framework Using Smartphone Sensors

  • Manhyung Han,
  • Jae Hun Bang,
  • Chris Nugent,
  • Sally McClean and
  • Sungyoung Lee

2 September 2014

Activity recognition for the purposes of recognizing a user’s intentions using multimodal sensors is becoming a widely researched topic largely based on the prevalence of the smartphone. Previous studies have reported the difficulty in recognizing li...

  • Article
  • Open Access
54 Citations
9,023 Views
18 Pages

15 December 2016

Human activity recognition has been a hot topic in recent years. With the advances in sensor technology, there has been a growing interest in using smartphones equipped with a set of built-in sensors to solve tasks of activity recognition. However, i...

  • Article
  • Open Access
496 Citations
26,799 Views
31 Pages

Fusion of Smartphone Motion Sensors for Physical Activity Recognition

  • Muhammad Shoaib,
  • Stephan Bosch,
  • Ozlem Durmaz Incel,
  • Hans Scholten and
  • Paul J. M. Havinga

10 June 2014

For physical activity recognition, smartphone sensors, such as an accelerometer and a gyroscope, are being utilized in many research studies. So far, particularly, the accelerometer has been extensively studied. In a few recent studies, a combination...

  • Article
  • Open Access
45 Citations
5,393 Views
18 Pages

Research on Construction Workers’ Activity Recognition Based on Smartphone

  • Mingyuan Zhang,
  • Shuo Chen,
  • Xuefeng Zhao and
  • Zhen Yang

14 August 2018

This research on identification and classification of construction workers’ activity contributes to the monitoring and management of individuals. Since a single sensor cannot meet management requirements of a complex construction environment, a...

  • Article
  • Open Access
16 Citations
3,501 Views
13 Pages

Human Activity Recognition for the Identification of Bullying and Cyberbullying Using Smartphone Sensors

  • Vincenzo Gattulli,
  • Donato Impedovo,
  • Giuseppe Pirlo and
  • Lucia Sarcinella

The smartphone is an excellent source of data; it is possible to extrapolate smartphone sensor values and, through Machine Learning approaches, perform anomaly detection analysis characterized by human behavior. This work exploits Human Activity Reco...

  • Article
  • Open Access
150 Citations
13,287 Views
18 Pages

Human Physical Activity Recognition Using Smartphone Sensors

  • Robert-Andrei Voicu,
  • Ciprian Dobre,
  • Lidia Bajenaru and
  • Radu-Ioan Ciobanu

23 January 2019

Because the number of elderly people is predicted to increase quickly in the upcoming years, “aging in place” (which refers to living at home regardless of age and other factors) is becoming an important topic in the area of ambient assis...

  • Article
  • Open Access
227 Citations
17,407 Views
28 Pages

Human Activity Recognition Using Inertial Sensors in a Smartphone: An Overview

  • Wesllen Sousa Lima,
  • Eduardo Souto,
  • Khalil El-Khatib,
  • Roozbeh Jalali and
  • Joao Gama

21 July 2019

The ubiquity of smartphones and the growth of computing resources, such as connectivity, processing, portability, and power of sensing, have greatly changed people’s lives. Today, many smartphones contain a variety of powerful sensors, includin...

  • Article
  • Open Access
1,101 Views
14 Pages

10 July 2025

Every day humans interact with smartphones that have embedded sensors that enable the tracking of changing physical activities of the device owner. However, several problems arise with the recognition of multiple activities (such as walking, sitting,...

  • Article
  • Open Access
33 Citations
5,101 Views
14 Pages

Deep Learning for Activity Recognition in Older People Using a Pocket-Worn Smartphone

  • Yashi Nan,
  • Nigel H. Lovell,
  • Stephen J. Redmond,
  • Kejia Wang,
  • Kim Delbaere and
  • Kimberley S. van Schooten

15 December 2020

Activity recognition can provide useful information about an older individual’s activity level and encourage older people to become more active to live longer in good health. This study aimed to develop an activity recognition algorithm for sma...

  • Article
  • Open Access
4 Citations
3,626 Views
20 Pages

7 May 2021

In smartphone-based pedestrian navigation systems, detailed knowledge about user activity and device placement is a key information. Landmarks such as staircases or elevators can help the system in determining the user position when located inside bu...

  • Article
  • Open Access
148 Citations
19,447 Views
14 Pages

A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors

  • Daniel Garcia-Gonzalez,
  • Daniel Rivero,
  • Enrique Fernandez-Blanco and
  • Miguel R. Luaces

13 April 2020

In recent years, human activity recognition has become a hot topic inside the scientific community. The reason to be under the spotlight is its direct application in multiple domains, like healthcare or fitness. Additionally, the current worldwide us...

  • Article
  • Open Access
19 Citations
7,068 Views
21 Pages

23 April 2017

Activity recognition through smartphones has been proposed for a variety of applications. The orientation of the smartphone has a significant effect on the recognition accuracy; thus, researchers generally propose using features invariant to orientat...

  • Article
  • Open Access
21 Citations
5,498 Views
19 Pages

Human Activity Recognition for Indoor Localization Using Smartphone Inertial Sensors

  • Dinis Moreira,
  • Marília Barandas,
  • Tiago Rocha,
  • Pedro Alves,
  • Ricardo Santos,
  • Ricardo Leonardo,
  • Pedro Vieira and
  • Hugo Gamboa

21 September 2021

With the fast increase in the demand for location-based services and the proliferation of smartphones, the topic of indoor localization is attracting great interest. In indoor environments, users’ performed activities carry useful semantic informatio...

  • Article
  • Open Access
68 Citations
5,992 Views
17 Pages

1 November 2018

Recently, modern smartphones equipped with a variety of embedded-sensors, such as accelerometers and gyroscopes, have been used as an alternative platform for human activity recognition (HAR), since they are cost-effective, unobtrusive and they facil...

  • Article
  • Open Access
10 Citations
4,414 Views
20 Pages

29 March 2022

Physical activity patterns can reveal information about one’s health status. Built-in sensors in a smartphone, in comparison to a patient’s self-report, can collect activity recognition data more objectively, unobtrusively, and continuous...

  • Article
  • Open Access
54 Citations
8,354 Views
20 Pages

Automatic Annotation for Human Activity Recognition in Free Living Using a Smartphone

  • Federico Cruciani,
  • Ian Cleland,
  • Chris Nugent,
  • Paul McCullagh,
  • Kåre Synnes and
  • Josef Hallberg

9 July 2018

Data annotation is a time-consuming process posing major limitations to the development of Human Activity Recognition (HAR) systems. The availability of a large amount of labeled data is required for supervised Machine Learning (ML) approaches, espec...

  • Article
  • Open Access
78 Citations
7,333 Views
15 Pages

1 February 2019

In the indoor environment, the activity of the pedestrian can reflect some semantic information. These activities can be used as the landmarks for indoor localization. In this paper, we propose a pedestrian activities recognition method based on a co...

  • Article
  • Open Access
29 Citations
9,742 Views
18 Pages

24 January 2020

By developing awareness of smartphone activities that the user is performing on their smartphone, such as scrolling feeds, typing and watching videos, we can develop application features that are beneficial to the users, such as personalization. It i...

  • Article
  • Open Access
8 Citations
8,623 Views
18 Pages

19 August 2016

Sufficient physical activity can reduce many adverse conditions and contribute to a healthy life. Nevertheless, inactivity is prevalent on an international scale. Improving physical activity is an essential concern for public health. Reminders that h...

  • Article
  • Open Access
36 Citations
7,484 Views
22 Pages

An Ensemble of Condition Based Classifiers for Device Independent Detailed Human Activity Recognition Using Smartphones

  • Jayita Saha,
  • Chandreyee Chowdhury,
  • Ishan Roy Chowdhury,
  • Suparna Biswas and
  • Nauman Aslam

16 April 2018

Human activity recognition is increasingly used for medical, surveillance and entertainment applications. For better monitoring, these applications require identification of detailed activity like sitting on chair/floor, brisk/slow walking, running,...

  • Article
  • Open Access
102 Citations
13,222 Views
31 Pages

Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing

  • Muhammad Ehatisham-ul-Haq,
  • Muhammad Awais Azam,
  • Jonathan Loo,
  • Kai Shuang,
  • Syed Islam,
  • Usman Naeem and
  • Yasar Amin

6 September 2017

Smartphones are context-aware devices that provide a compelling platform for ubiquitous computing and assist users in accomplishing many of their routine tasks anytime and anywhere, such as sending and receiving emails. The nature of tasks conducted...

  • Article
  • Open Access
15 Citations
4,335 Views
35 Pages

Recognition of Typical Locomotion Activities Based on the Sensor Data of a Smartphone in Pocket or Hand

  • Markus Ebner,
  • Toni Fetzer,
  • Markus Bullmann,
  • Frank Deinzer and
  • Marcin Grzegorzek

17 November 2020

With the ubiquity of smartphones, the interest in indoor localization as a research area grew. Methods based on radio data are predominant, but due to the susceptibility of these radio signals to a number of dynamic influences, good localization solu...

  • Article
  • Open Access
2 Citations
2,345 Views
18 Pages

24 May 2024

Composite indoor human activity recognition is very important in elderly health monitoring and is more difficult than identifying individual human movements. This article proposes a sensor-based human indoor activity recognition method that integrate...

  • Article
  • Open Access
36 Citations
5,777 Views
17 Pages

A Cascade Ensemble Learning Model for Human Activity Recognition with Smartphones

  • Shoujiang Xu,
  • Qingfeng Tang,
  • Linpeng Jin and
  • Zhigeng Pan

19 May 2019

Human activity recognition (HAR) has gained lots of attention in recent years due to its high demand in different domains. In this paper, a novel HAR system based on a cascade ensemble learning (CELearning) model is proposed. Each layer of the propos...

  • Article
  • Open Access
530 Citations
25,752 Views
19 Pages

24 October 2017

Smartphones, smartwatches, fitness trackers, and ad-hoc wearable devices are being increasingly used to monitor human activities. Data acquired by the hosted sensors are usually processed by machine-learning-based algorithms to classify human activit...

  • Proceeding Paper
  • Open Access
5 Citations
3,139 Views
12 Pages

Recognition of Gait Activities Using Acceleration Data from A Smartphone and A Wearable Device

  • Irvin Hussein Lopez-Nava,
  • Matias Garcia-Constantino and
  • Jesus Favela

Activity recognition is an important task in many fields, such as ambient intelligence, pervasive healthcare, and surveillance. In particular, the recognition of human gait can be useful to identify the characteristics of the places or physical space...

  • Article
  • Open Access
41 Citations
13,037 Views
35 Pages

14 August 2015

Low-cost inertial and motion sensors embedded on smartphones have provided a new platform for dynamic activity pattern inference. In this research, a comparison has been conducted on different sensor data, feature spaces and feature selection methods...

  • Article
  • Open Access
97 Citations
12,219 Views
24 Pages

27 September 2013

Smartphone-based activity recognition (SP-AR) recognizes users’ activities using the embedded accelerometer sensor. Only a small number of previous works can be classified as online systems, i.e., the whole process (pre-processing, feature extraction...

  • Article
  • Open Access
23 Citations
5,247 Views
28 Pages

A Smartphone Lightweight Method for Human Activity Recognition Based on Information Theory

  • Hendrio Bragança,
  • Juan G. Colonna,
  • Wesllen Sousa Lima and
  • Eduardo Souto

27 March 2020

Smartphones have emerged as a revolutionary technology for monitoring everyday life, and they have played an important role in Human Activity Recognition (HAR) due to its ubiquity. The sensors embedded in these devices allows recognizing human behavi...

  • Article
  • Open Access
80 Citations
6,621 Views
17 Pages

Human Activity Recognition Using an Ensemble Learning Algorithm with Smartphone Sensor Data

  • Tan-Hsu Tan,
  • Jie-Ying Wu,
  • Shing-Hong Liu and
  • Munkhjargal Gochoo

Human activity recognition (HAR) can monitor persons at risk of COVID-19 virus infection to manage their activity status. Currently, many people are isolated at home or quarantined in some specified places due to the spread of COVID-19 virus all over...

  • Article
  • Open Access
309 Citations
14,091 Views
25 Pages

26 February 2021

Human Activity Recognition (HAR) employing inertial motion data has gained considerable momentum in recent years, both in research and industrial applications. From the abstract perspective, this has been driven by an acceleration in the building of...

  • Article
  • Open Access
199 Citations
13,852 Views
19 Pages

6 January 2020

Human activity recognition (HAR) techniques are playing a significant role in monitoring the daily activities of human life such as elderly care, investigation activities, healthcare, sports, and smart homes. Smartphones incorporated with varieties o...

  • Article
  • Open Access
103 Citations
7,082 Views
20 Pages

A Fast and Robust Deep Convolutional Neural Networks for Complex Human Activity Recognition Using Smartphone

  • Wen Qi,
  • Hang Su,
  • Chenguang Yang,
  • Giancarlo Ferrigno,
  • Elena De Momi and
  • Andrea Aliverti

29 August 2019

As a significant role in healthcare and sports applications, human activity recognition (HAR) techniques are capable of monitoring humans’ daily behavior. It has spurred the demand for intelligent sensors and has been giving rise to the explosi...

  • Article
  • Open Access
6 Citations
3,605 Views
16 Pages

Using a Hybrid Neural Network and a Regularized Extreme Learning Machine for Human Activity Recognition with Smartphone and Smartwatch

  • Tan-Hsu Tan,
  • Jyun-Yu Shih,
  • Shing-Hong Liu,
  • Mohammad Alkhaleefah,
  • Yang-Lang Chang and
  • Munkhjargal Gochoo

22 March 2023

Mobile health (mHealth) utilizes mobile devices, mobile communication techniques, and the Internet of Things (IoT) to improve not only traditional telemedicine and monitoring and alerting systems, but also fitness and medical information awareness in...

  • Article
  • Open Access
3 Citations
3,626 Views
46 Pages

Robust Human Activity Recognition for Intelligent Transportation Systems Using Smartphone Sensors: A Position-Independent Approach

  • John Benedict Lazaro Bernardo,
  • Attaphongse Taparugssanagorn,
  • Hiroyuki Miyazaki,
  • Bipun Man Pati and
  • Ukesh Thapa

13 November 2024

This study explores Human Activity Recognition (HAR) using smartphone sensors to address the challenges posed by position-dependent datasets. We propose a position-independent system that leverages data from accelerometers, gyroscopes, linear acceler...

  • Article
  • Open Access
10 Citations
3,525 Views
19 Pages

7 December 2020

Smartphone-sensors-based human activity recognition is attracting increasing interest due to the popularization of smartphones. It is a difficult long-range temporal recognition problem, especially with large intraclass distances such as carrying sma...

  • Article
  • Open Access
17 Citations
6,888 Views
27 Pages

Walking Recognition in Mobile Devices

  • Fernando E. Casado,
  • Germán Rodríguez,
  • Roberto Iglesias,
  • Carlos V. Regueiro,
  • Senén Barro and
  • Adrián Canedo-Rodríguez

21 February 2020

Presently, smartphones are used more and more for purposes that have nothing to do with phone calls or simple data transfers. One example is the recognition of human activity, which is relevant information for many applications in the domains of medi...

  • Article
  • Open Access
17 Citations
4,656 Views
21 Pages

29 October 2019

Today’s smartphones are equipped with embedded sensors, such as accelerometers and gyroscopes, which have enabled a variety of measurements and recognition tasks. In this paper, we jointly investigate two types of recognition problems in a join...

  • Article
  • Open Access
95 Citations
7,554 Views
18 Pages

Analyzing the Effectiveness and Contribution of Each Axis of Tri-Axial Accelerometer Sensor for Accurate Activity Recognition

  • Abdul Rehman Javed,
  • Muhammad Usman Sarwar,
  • Suleman Khan,
  • Celestine Iwendi,
  • Mohit Mittal and
  • Neeraj Kumar

14 April 2020

Recognizing human physical activities from streaming smartphone sensor readings is essential for the successful realization of a smart environment. Physical activity recognition is one of the active research topics to provide users the adaptive servi...

  • Article
  • Open Access
14 Citations
6,261 Views
20 Pages

On-Device Deep Learning Inference for Efficient Activity Data Collection

  • Nattaya Mairittha,
  • Tittaya Mairittha and
  • Sozo Inoue

5 August 2019

Labeling activity data is a central part of the design and evaluation of human activity recognition systems. The performance of the systems greatly depends on the quantity and “quality” of annotations; therefore, it is inevitable to rely...

  • Article
  • Open Access
45 Citations
9,854 Views
17 Pages

User-Independent Motion State Recognition Using Smartphone Sensors

  • Fuqiang Gu,
  • Allison Kealy,
  • Kourosh Khoshelham and
  • Jianga Shang

4 December 2015

The recognition of locomotion activities (e.g., walking, running, still) is important for a wide range of applications like indoor positioning, navigation, location-based services, and health monitoring. Recently, there has been a growing interest in...

  • Article
  • Open Access
19 Citations
3,393 Views
16 Pages

31 May 2020

With the development and popularity of micro-electromechanical systems (MEMS) and smartphones, sensor-based human activity recognition (HAR) has been widely applied. Although various kinds of HAR systems have achieved outstanding results, there are s...

  • Article
  • Open Access
4 Citations
2,928 Views
15 Pages

16 March 2022

The accuracy of Human Activity Recognition is noticeably affected by the orientation of smartphones during data collection. This study utilized a public domain dataset that was specifically collected to include variations in smartphone positioning. A...

  • Article
  • Open Access
22 Citations
7,071 Views
23 Pages

Dimensionality Reduction for Human Activity Recognition Using Google Colab

  • Sujan Ray,
  • Khaldoon Alshouiliy and
  • Dharma P. Agrawal

23 December 2020

Human activity recognition (HAR) is a classification task that involves predicting the movement of a person based on sensor data. As we can see, there has been a huge growth and development of smartphones over the last 10–15 years—they co...

  • Article
  • Open Access
31 Citations
3,375 Views
22 Pages

Smartphone Sensor-Based Human Locomotion Surveillance System Using Multilayer Perceptron

  • Usman Azmat,
  • Yazeed Yasin Ghadi,
  • Tamara al Shloul,
  • Suliman A. Alsuhibany,
  • Ahmad Jalal and
  • Jeongmin Park

28 February 2022

Applied sensing technology has made it possible for human beings to experience a revolutionary aspect of the science and technology world. Along with many other fields in which this technology is working wonders, human locomotion activity recognition...

  • Article
  • Open Access
54 Citations
7,641 Views
19 Pages

Classification of Human Daily Activities Using Ensemble Methods Based on Smartphone Inertial Sensors

  • Ku Nurhanim Ku Abd. Rahim,
  • I. Elamvazuthi,
  • Lila Iznita Izhar and
  • Genci Capi

26 November 2018

Increasing interest in analyzing human gait using various wearable sensors, which is known as Human Activity Recognition (HAR), can be found in recent research. Sensors such as accelerometers and gyroscopes are widely used in HAR. Recently, high inte...

  • Article
  • Open Access
70 Citations
6,858 Views
19 Pages

Iss2Image: A Novel Signal-Encoding Technique for CNN-Based Human Activity Recognition

  • Taeho Hur,
  • Jaehun Bang,
  • Thien Huynh-The,
  • Jongwon Lee,
  • Jee-In Kim and
  • Sungyoung Lee

13 November 2018

The most significant barrier to success in human activity recognition is extracting and selecting the right features. In traditional methods, the features are chosen by humans, which requires the user to have expert knowledge or to do a large amount...

  • Article
  • Open Access
5 Citations
7,995 Views
19 Pages

Recent developments in smartphone technology have increased user demand for indoors applications. The Global Navigation Satellite System (GNSS) and the Inertial Navigation System (INS) are the two advanced systems for navigation technology. However,...

  • Article
  • Open Access
3 Citations
2,549 Views
32 Pages

What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges

  • Stefan Kalabakov,
  • Simon Stankoski,
  • Ivana Kiprijanovska,
  • Andrejaana Andova,
  • Nina Reščič,
  • Vito Janko,
  • Martin Gjoreski,
  • Matjaž Gams and
  • Mitja Luštrek

10 May 2022

From 2018 to 2021, the Sussex-Huawei Locomotion-Transportation Recognition Challenge presented different scenarios in which participants were tasked with recognizing eight different modes of locomotion and transportation using sensor data from smartp...

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