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Poor posture is a significant concern due to its detrimental effects on health and productivity. This paper presents a collar-clipped device called PostureClip, designed to restrict users from sitting and working at a bent angle, by…

Human-Computer Interaction · Computer Science 2026-05-26 Arka Majhi , Aparajita Mondal

Purpose: Conventional robotic ultrasound systems were utilized with patients in supine positions. Meanwhile, the limitation of the systems is that it is difficult to evacuate the patients in case of emergency (e.g., patient discomfort and…

Robotics · Computer Science 2022-10-26 Yuuki Shida , Masami Sugawara , Ryosuke Tsumura , Haruaki Chiba , Tokuhisa Uejima , Hiroyasu Iwata

Improper sitting posture during prolonged computer use has become a significant public health concern. Traditional posture monitoring solutions face substantial barriers, including privacy concerns with camera-based systems and user…

Computer Vision and Pattern Recognition · Computer Science 2025-08-18 Haotang Li , Zhenyu Qi , Sen He , Kebin Peng , Sheng Tan , Yili Ren , Tomas Cerny , Jiyue Zhao , Zi Wang

Pressure ulcers are a challenge for patients and healthcare professionals. In the UK, 700,000 people are affected by pressure ulcers each year. Treating them costs the National Health Service {\pounds}3.8 million every day. Their etiology…

Machine Learning · Computer Science 2022-03-15 Paul Fergus , Carl Chalmers , William Henderson , Danny Roberts , Atif Waraich

Sedentary behavior poses a major public health risk, being strongly linked to obesity, cardiovascular disease, and other chronic conditions. Accurately estimating sitting time is therefore critical for monitoring and improving individual…

Machine Learning · Computer Science 2026-04-13 Olivia Zhang , Zhilin Zhang

Dementia is a neuropsychiatric brain disorder that usually occurs when one or more brain cells stop working partially or at all. Diagnosis of this disorder in the early phases of the disease is a vital task to rescue patients lives from bad…

Machine Learning · Computer Science 2022-09-13 Sinan Faouri , Mahmood AlBashayreh , Mohammad Azzeh

Infants' spontaneous and voluntary movements mirror developmental integrity of brain networks since they require coordinated activation of multiple sites in the central nervous system. Accordingly, early detection of infants with atypical…

Computer Vision and Pattern Recognition · Computer Science 2019-12-19 Manu Airaksinen , Okko Räsänen , Elina Ilén , Taru Häyrinen , Anna Kivi , Viviana Marchi , Anastasia Gallen , Sonja Blom , Anni Varhe , Nico Kaartinen , Leena Haataja , Sampsa Vanhatalo

In this paper, we study methods to estimate drivers' posture in vehicles using acceleration data of wearable sensor and conduct a field test. Recently, sensor technologies have been progressed. Solutions of safety management to analyze…

Human-Computer Interaction · Computer Science 2024-09-17 Yoji Yamato

The emergence of RGB-D sensors offered new possibilities for addressing complex artificial vision problems efficiently. Human posture recognition is among these computer vision problems, with a wide range of applications such as ambient…

Computer Vision and Pattern Recognition · Computer Science 2018-10-16 Mohamed El Amine Elforaici , Ismail Chaaraoui , Wassim Bouachir , Youssef Ouakrim , Neila Mezghani

Monitoring awkward postures is a proactive prevention for Musculoskeletal Disorders (MSDs)in construction. Machine Learning (ML) models have shown promising results for posture recognition from Wearable Sensors. However, further…

Computer Vision and Pattern Recognition · Computer Science 2020-08-05 Junqi Zhao , Esther Obonyo

Get-Up-and-Go Test is commonly used for assessing the physical mobility of the elderly by physicians. This paper presents a method for automatic analysis and classification of human gait in the Get-Up-and-Go Test using a Microsoft Kinect…

Human-Computer Interaction · Computer Science 2015-11-12 Amir H. Kargar B. , Ali Mollahosseini , Taylor Struemph , Wilson Pace , Rodney D. Nielsen , Mohammad H. Mahoor

Parkinson's disease (PD) is a neurological disorder requiring early and accurate diagnosis for effective management. Machine learning (ML) has emerged as a powerful tool to enhance PD classification and diagnostic accuracy, particularly by…

Diabetes is a prevalent chronic disease with significant health and economic burdens worldwide. Early prediction and diagnosis can aid in effective management and prevention of complications. This study explores the use of machine learning…

Machine Learning · Computer Science 2025-03-07 Bruce Nguyen , Yan Zhang

Fitness exercises are very beneficial to personal health and fitness; however, they can also be ineffective and potentially dangerous if performed incorrectly by the user. Exercise mistakes are made when the user does not use the proper…

Computer Vision and Pattern Recognition · Computer Science 2020-06-23 Steven Chen , Richard R. Yang

This paper proposes a novel contact and wearable sensing system for estimating the upper body posture and joint angles (ankle, knee, and hip) of the human body using foot pressure distribution information obtained from a sensor attached to…

Human-Computer Interaction · Computer Science 2024-01-24 Yo Kobayashi , Yasutaka Nakashima

Many users are confronted multiple times daily with the choice of whether to take the stairs or the elevator. Whereas taking the stairs could be beneficial for cardiovascular health and wellness, taking the elevator might be more convenient…

Tech neck, a growing musculoskeletal concern caused by prolonged poor posture during device use, has significant health implications. This study investigates the relationship between head posture and muscular activity in the upper trapezius…

Human-Computer Interaction · Computer Science 2025-03-18 Bhawana Chhaglani , Alan Seefeldt

Anticipating changes to vehicle interiors with future automated driving systems, the automobile industry recently has focused attention on crash response in relaxed postures with increased seatback recline. Prior research found that this…

Quantitative Methods · Quantitative Biology 2022-06-22 Sophia K. Tushak , Bronislaw D. Gepner , Jason L. Forman , Jason J. Hallman , Bengt Pipkorn , Jason R. Kerrigan

Musculoskeletal disorders (MSDs) are one of the main causes of work disability (EU-OSHA, 2019; WHO, 2019). Several solutions, including the cobotic system (EUROGIP, 2017), have been put forward to improve unhealthy working conditions and…

Robotics · Computer Science 2023-07-20 Emma Cippelletti , Soufian Azouaghe , Damien Pellier , Aurélie Landry

Human body-pose estimation is a complex problem in computer vision. Recent research interests have been widened specifically on the Sports, Yoga, and Dance (SYD) postures for maintaining health conditions. The SYD pose categories are…

Computer Vision and Pattern Recognition · Computer Science 2023-08-02 Asish Bera , Mita Nasipuri , Ondrej Krejcar , Debotosh Bhattacharjee