Development of a low-cost wearable sensing glove with multiple inertial sensors and a light and fast orientation estimation algorithm

Choi, Younggeun; Yoo, Kyounghwan; Kang, Seong-Hoon; Seo, Beomjoo; Kim, Soo Kyun

doi:10.1007/s11227-016-1833-5

Cited by 24 publications

(32 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Y. Wong & Wong, 2008b) analyzed the trunk , five papers (Kuster et al, 2016;Vignais et al, 2013;Valero et al, 2016;Qin et al, 2014;Peppoloni et al, 2016) analyzed the movement of neck and shoulder, three paper (Holte et al, 2012;Antonio Diego-Mas et al, 2014;Botter et al,2013), analyzed posture. Other organs were analyzed in these studies: back (Valero et al, 2016), finger wrist (Botter et al, 2016;Choi, Yoo, Kang, Seo, & Kim, 2016;Schmuntzsch et al, 2013), head (Morency, Whitehill, & Movellan, 2010), seated posture (Albert et al, 2014;Karakolis et al, 2016), hip and knee and ankle (Menguec et al, 2013) were analyzed.…”

Section: Resultsmentioning

confidence: 99%

Methods of posture analysis for computer workers

Maheronnaghsh¹,

Baptista

Vaz³

2018

IJOOES

View full text Add to dashboard Cite

Musculoskeletal disorders (MSDs) have been identified as a predisposing factor for lesser productivity and are considered to be a major occupational health problem contributing significantly to absenteeism, disability and loss of productivity. Computer users may develop musculoskeletal disorders due to the forces applied, muscle use, posture and wrist velocity and acceleration exposures during computer use. Work-related musculoskeletal disorders (WMSDs) in computer users cause substantial worker discomfort, disability and loss of productivity. The aim of this study is to review systematically the relevant literature on applicable posture analysis methods to computer workers. A bibliographic survey based on PRISMA statement methodology was performed. A review on different approaches for computer workers posture was accomplished and noted that the simultaneous utilization of the different methods allows achieving better posture analysis, compared to situations when each one of them was used individually.

show abstract

Section: Resultsmentioning

confidence: 99%

Methods of posture analysis for computer workers

Maheronnaghsh¹,

Baptista

Vaz³

2018

IJOOES

View full text Add to dashboard Cite

show abstract

“…However, their data glove was only able to transmit its data through a USB interface, which was prone to be restricted by the environment. Choi et al developed a data glove with a fast orientation algorithm to effectively calculate the Euler angles [2]. But their data glove produced higher error than the proposed data glove.…”

Section: Discussionmentioning

confidence: 99%

“…The users are not required to wear any devices, but such systems are easily affected by environmental conditions, such as illumination and occlusion. By contrast, contact-based designs are more practical in medical settings [1][2][3][4][5][6][7]12]. Data gloves are the most popular type of contact-based design.…”

Section: Introductionmentioning

confidence: 99%

“…Several IMU-based data gloves have been proposed [2][3][4][5][6][7]. In 2014, Kortier et al presented a data glove with inertial magnetic sensors to assess hand kinematics [6].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, this design featured universal serial bus (USB) transmission over a wire, which limited the mobility of the user's hand. In 2016, Choi et al presented a low-cost data glove with multiple IMUs [2]. However, this design was not suitable for all users.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Modular Data Glove System for Finger and Hand Motion Capture Based on Inertial Sensors

et al. 2018

View full text Add to dashboard Cite

This study proposes a modular data glove system to accurately and reliably capture hand kinematics. This data glove system's modular design enhances its flexibility. It can provide the hand's angular velocities, accelerations, and joint angles to physicians for adjusting rehabilitation treatments. Three validations-raw data verification, static angle verification, and dynamic angle verification-were conducted to verify the reliability and accuracy of the data glove. Furthermore, to ensure the wearability of the data glove, 15 healthy participants and 15 participants with stroke were recruited to test the data glove and fill out a questionnaire. The errors of the finger ROMs obtained from the fusion algorithm were less than 2°, proving that the fusion algorithm can measure the wearer's range of motion accurately. The result of the questionnaire shows the participants' high satisfaction with the data glove. Moreover, a comparison between the proposed data glove and related research shows that the proposed data glove is superior to other data glove systems.

show abstract

A Liquid Metal Based Multimodal Sensor and Haptic Feedback Device for Thermal and Tactile Sensation Generation in Virtual Reality

Kim

Lee

et al. 2020

Adv Funct Materials

View full text Add to dashboard Cite

Virtual reality (VR) has been widely used for training, gaming, and entertainment, and the value of VR is continually increasing as a contact‐free technology. For an immersive VR experience, measuring finger movements and providing appropriate feedback to the hand are as important as visual information, given the necessity of the hands for activities in daily life. Thus, a hand‐worn VR device with motion sensors and haptic feedback is desirable. In this paper, a multimodal sensing and feedback glove is developed with soft, stretchable, lightweight, and compact sensor and heater sheets manufactured by direct ink writing (DIW) of liquid metal, eutectic gallium‐indium (eGaIn). In the sensor sheet, ten sensors and three vibrators are embedded to measure finger movements and provide vibro‐haptic feedback. The other heater sheet provides thermo‐haptic sensation in accurate and rapid manner via model‐based feedback control even under stretched conditions. The multimodal sensing and feedback glove allows users to feel the contact status and discriminate materials with different temperature. Performance of the proposed multimodal glove is verified under VR environments including touching and pushing two blocks of different materials and grabbing a heated metal ball submerged in hot water.

show abstract

Development of a low-cost wearable sensing glove with multiple inertial sensors and a light and fast orientation estimation algorithm

Cited by 24 publications

References 8 publications

Methods of posture analysis for computer workers

Methods of posture analysis for computer workers

A Modular Data Glove System for Finger and Hand Motion Capture Based on Inertial Sensors

A Liquid Metal Based Multimodal Sensor and Haptic Feedback Device for Thermal and Tactile Sensation Generation in Virtual Reality

Contact Info

Product

Resources

About