Problems Using Data Gloves with Strain Gauges to Measure Distal Interphalangeal Joints' Kinematics.

Sensors (Basel)

Departamento de Ingeniería Mecánica y Construcción, Universitat Jaume I, E12071 Castellón de la Plana, Spain.

Published: May 2022

Data gloves with strain gauges are a widely used technology to record hand kinematics. Several researchers have experienced problems when using data glove models to record distal interphalangeal (DIP) joints, mainly in relation to bad glove fitting. The aim of this work is to report the problems that arise when using one of these gloves (CyberGlove) and to determine an appropriate hand size to avoid these problems. First, static controlled postures of DIP joints and dynamic recordings while closing/opening the fist were taken using the data gloves on participants with different hand sizes, in order to establish the minimum hand length that does not pose recording problems. The minimum obtained hand length that allowed proper recording was 184 mm. Then, validation was performed, which consisted of recording the functional range of motion of the DIP joints in a sample of eight healthy participants with hand lengths longer than the minimum obtained one. These results were then compared to the results found in the literature. Although the glove fit properly, some problems remained: difficulty to record small flexion angles or a diminished touch sensitivity. Its usability would improve if two or three different glove sizes were commercially available.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145331PMC
http://dx.doi.org/10.3390/s22103757DOI Listing

Publication Analysis

Top Keywords

data gloves
12
dip joints
12
problems data
8
gloves strain
8
strain gauges
8
distal interphalangeal
8
participants hand
8
minimum hand
8
hand length
8
problems
6

Similar Publications

Proper personal protective equipment (PPE) use is critical to prevent disease transmission to healthcare providers, especially those treating patients with a high infection risk. To address the challenge of monitoring PPE usage in healthcare, computer vision has been evaluated for tracking adherence. Existing datasets for this purpose, however, lack a diversity of PPE and nonadherence classes, represent single not multiple providers, and do not depict dynamic provider movement during patient care.

View Article and Find Full Text PDF

Background: Hepatitis B and C viral (HBV and HCV) infections are endemic in Ghana. Also, the National Policy on Viral Hepatitis stipulates that there is unreliable data, limited knowledge, and a deficiency in research on viral hepatitis, especially among some high-risk workers in the eastern part of the country. This study therefore assessed the knowledge level and occupational practices of street beauticians and barbers in the transmission of HBV and HCV in the Volta Region of Ghana.

View Article and Find Full Text PDF

Objective: to analyze the association between participation in training activities and the adherence to and use of personal protective equipment by workers and professionals involved in Health Residency Programs in Primary Health Care during the COVID-19 pandemic.

Methods: a cross-sectional study in Brazil between August/2020 and March/2021. We utilized the EPI-APS COVID-19 instrument and its adapted version for resident professionals.

View Article and Find Full Text PDF

Semantic alignment: A measure to quantify the degree of semantic equivalence for English-Chinese translation equivalents based on distributional semantics.

Behav Res Methods

January 2025

Department of Chinese Language and Literature, College of Humanities, Southwest Jiaotong University, No. 999, Xi'an Road, Pidu District, Chengdu, Sichuan Province, 611756, The People's Republic of China.

The degree of semantic equivalence of translation pairs is typically measured by asking bilinguals to rate the semantic similarity of them or comparing the number and meaning of dictionary entries. Such measures are subjective, labor-intensive, and unable to capture the fine-grained variation in the degree of semantic equivalence. Thompson et al.

View Article and Find Full Text PDF

Artificial Intelligence (AI) assists recruiting and job searching. Such systems can be biased against certain characteristics. This results in potential misrepresentations and consequent inequalities related to people with mental health disorders.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!