Can human posture and range of motion be measured automatically by smart mobile applications?

Moreira, Rayele; Teles, Ariel Soares; Fialho, Renan; Santos, Thalyta Cibele Passos dos; Vasconcelos, Samila Sousa; Sá, Itamara Carvalho de; Bastos, Víctor Hugo; Silva, Francisco; Teixeira, Silmar

doi:10.1016/j.mehy.2020.109741

Cited by 12 publications

(7 citation statements)

References 57 publications

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“…Based on the statistical information of the confusion matrix, the average testing accuracy, precision, specificity, sensitivity, and F1 score are calculated as the performance evaluation metrics in our paper. The reason why the F1 score is used is that it is a more cautious measure in a situation when classes are imbalanced [31] . The confusion matrix with three classes is shown in Table 1 , where NP, MP, and SP represent no pain, mild pain, and severe pain, respectively.…”

Section: Resultsmentioning

confidence: 99%

A Personalized Spatial-Temporal Cold Pain Intensity Estimation Model Based on Facial Expression

Guo

Wang

Xiao

et al. 2021

IEEE J. Transl. Eng. Health Med.

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Objective: Pain assessment is of great importance in both clinical research and patient care. Facial expression analysis is becoming a key part of pain detection because it is convenient, automatic, and real-time. The aim of this study is to present a cold pain intensity estimation experiment, investigate the importance of the spatial-temporal information on facial expression based cold pain, and study the performance of the personalized model as well as the generalized model. Methods: A cold pain experiment was carried out and facial expressions from 29 subjects were extracted. Three different architectures (Inception V3, VGG-LSTM, and Convolutional LSTM) were used to estimate three intensities of cold pain: No pain, Moderate pain, and Severe Pain. Architectures with Sequential information were compared with single-frame architecture, showing the importance of spatial-temporal information on pain estimation. The performances of the personalized model and the generalized model were also compared. Results: A mean F1 score of 79.48% was achieved using Convolutional LSTM based on the personalized model. Conclusion: This study demonstrates the potential for the estimation of cold pain intensity from facial expression analysis and shows that the personalized spatial-temporal framework has better performance in cold pain intensity estimation. Significance: This cold pain intensity estimator could allow convenient, automatic, and real-time use to provide continuous objective pain intensity estimations of subjects and patients.

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Section: Resultsmentioning

confidence: 99%

A Personalized Spatial-Temporal Cold Pain Intensity Estimation Model Based on Facial Expression

Guo

Wang

Xiao

et al. 2021

IEEE J. Transl. Eng. Health Med.

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“…Later the methods evolved through the use of “Rasterstereography”, which involves the use of a special system - the Formetric system (DIERS International Gmbh, Schlangenbad, Germany), to capture a series of pictures of the back of the patient from different angles, which are later analyzed by dedicated software [ 55 , 63 , 67 , 78 ]. Nowadays technology has progressed to allow the use of DSLR cameras for the purpose of image acquisition along with dedicated software to analyze the data [ 57 , 58 , 67 , 69 ].…”

Section: Reviewmentioning

confidence: 99%

Photogrammetry Applied to Neurosurgery: A Literature Review

Trandzhiev,

Vezirska,

Maslarski

et al. 2023

Cureus

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Photogrammetry refers to the process of creating 3D models and taking measurements through the use of photographs. Photogrammetry has many applications in neurosurgery, such as creating 3D anatomical models and diagnosing and evaluating head shape and posture deformities. This review aims to summarize the uses of the technique in the neurosurgical practice and showcase the systems and software required for its implementation. A literature review was done in the online database PubMed. Papers were searched using the keywords “photogrammetry”, “neurosurgery”, “neuroanatomy”, “craniosynostosis” and “scoliosis”. The identified articles were later put through primary (abstracts and titles) and secondary (full text) screening for eligibility for inclusion. In total, 86 articles were included in the review from 315 papers identified. The review showed that the main uses of photogrammetry in the field of neurosurgery are related to the creation of 3D models of complex neuroanatomical structures and surgical approaches, accompanied by the uses for diagnosis and evaluation of patients with structural deformities of the head and trunk, such as craniosynostosis and scoliosis. Additionally, three instances of photogrammetry applied for more specific aims, namely, cervical spine surgery, skull-base surgery, and radiosurgery, were identified. Information was extracted on the software and systems used to execute the method. With the development of the photogrammetric method, it has become possible to create accurate 3D models of physical objects and analyze images with dedicated software. In the neurosurgical setting, this has translated into the creation of anatomical teaching models and surgical 3D models as well as the evaluation of head and spine deformities. Through those applications, the method has the potential to facilitate the education of residents and medical students and the diagnosis of patient pathologies.

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“…Information fusion was proposed in the early 1970s, and military applications were the origin of the technique. At present, there is no information fusion algorithm that can calculate all transducer fusion information [28]. In general, which algorithm to choose should be decided according to the specific application.…”

Section: Analysis Of Multitransducer Data Fusionmentioning

confidence: 99%

Design of Intelligent Perception Module Based on Wireless Sensor Network and Basketball Sports Attitude

Wei

2022

Wireless Communications and Mobile Computing

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In recent years, along with microelectromechanical (MEMS) technique and wireless body area network (WBAN), wearable health monitoring systems have emerged. With sustainability posture detection technique, people pay more and more attention to mankind posture detection. Human posture detection technique has been widely used in medical, film and television, industry, sports, and other fields. Motion capture is a technique for measuring the motion of moving objects in three-dimensional space with great accuracy. It is the most efficient method for producing computer 3D animation and collecting human motion data. The use of motion capture systems in animation is becoming increasingly common. The problem of a single sensor having a large error in monitoring human motion and attitude is addressed. The use of multisensor data fusion technology is used to propose a human motion pattern recognition method based on data fusion of accelerometer and gyroscope. The system must effectively integrate the information of various sensors in order to achieve the goal of accuracy, timeliness, and reliability processing, and multisensor information fusion systems for various complex application objects are constantly emerging.

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Can human posture and range of motion be measured automatically by smart mobile applications?

Cited by 12 publications

References 57 publications

A Personalized Spatial-Temporal Cold Pain Intensity Estimation Model Based on Facial Expression

A Personalized Spatial-Temporal Cold Pain Intensity Estimation Model Based on Facial Expression

Photogrammetry Applied to Neurosurgery: A Literature Review

Design of Intelligent Perception Module Based on Wireless Sensor Network and Basketball Sports Attitude

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