Mouthguard-based wireless high-bandwidth helmet-mounted inertial measurement system

Lund, John; Paris, Anthony J.; Brock, Jennifer McFerran

doi:10.1016/j.ohx.2018.e00041

Cited by 5 publications

(6 citation statements)

References 14 publications

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“…These applications monitored medical problems such as head tremor [34], cerebral palsy [54], and fall detection [40]. The wearable head motion devices proposed acquired inertial signals with frequency rates ranging from 4 Hz [53] to 48 kHz [70]. For detecting head motion during various daily activities, wearable devices usually work with an acquisition frequency between 48 Hz [20,36,54,71] and 100 Hz [6,36,41,50,55].…”

Section: Discussionmentioning

confidence: 99%

“…For validation, in addition to inertial sensors, they attached a video camera for tagging the activities. Regarding the sports activity, as well as the previous example, we observed that multiple solutions have been proposed to assist users in performing activities such as swimming [52], hokey [53], golf [57], or motorcycle VR [58]. Such a system was proposed by Michaels et al [52] in order to coach new users to use inertial sensors.…”

Section: Head Motion Systemsmentioning

confidence: 94%

“…After the literature review, we noticed that the relevant selected papers had the following distribution: 49% focused on medical problems such as head tremor [34], cerebral palsy [30][31][32][33], fall detection [15,34], vestibular rehabilitation [35], physical and mental activity analysis [20,36,37], forward head posture [17,38], and musculoskeletal disorders [39]; 20% focused on the general problem of human-computer interaction [35,[40][41][42]; and 10% focused on the development of new computational and calibration methods [39,43,44]. The last two topics were the development of sports devices (swimming, hokey, golf, motorcycle ride or spinning exercises: 10%) [45][46][47][48][49][50], and 8% focused on prevention and safety systems (drivers' attention) [51][52][53]. All the selected papers used an electronic device with an inertial sensor placed on a specific part of the head.…”

Section: Review Findingsmentioning

confidence: 99%

See 2 more Smart Citations

Using Inertial Sensors to Determine Head Motion—A Review

Severin

Dobrea

2021

J. Imaging

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Human activity recognition and classification are some of the most interesting research fields, especially due to the rising popularity of wearable devices, such as mobile phones and smartwatches, which are present in our daily lives. Determining head motion and activities through wearable devices has applications in different domains, such as medicine, entertainment, health monitoring, and sports training. In addition, understanding head motion is important for modern-day topics, such as metaverse systems, virtual reality, and touchless systems. The wearability and usability of head motion systems are more technologically advanced than those which use information from a sensor connected to other parts of the human body. The current paper presents an overview of the technical literature from the last decade on state-of-the-art head motion monitoring systems based on inertial sensors. This study provides an overview of the existing solutions used to monitor head motion using inertial sensors. The focus of this study was on determining the acquisition methods, prototype structures, preprocessing steps, computational methods, and techniques used to validate these systems. From a preliminary inspection of the technical literature, we observed that this was the first work which looks specifically at head motion systems based on inertial sensors and their techniques. The research was conducted using four internet databases—IEEE Xplore, Elsevier, MDPI, and Springer. According to this survey, most of the studies focused on analyzing general human activity, and less on a specific activity. In addition, this paper provides a thorough overview of the last decade of approaches and machine learning algorithms used to monitor head motion using inertial sensors. For each method, concept, and final solution, this study provides a comprehensive number of references which help prove the advantages and disadvantages of the inertial sensors used to read head motion. The results of this study help to contextualize emerging inertial sensor technology in relation to broader goals to help people suffering from partial or total paralysis of the body.

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Section: Discussionmentioning

confidence: 99%

Section: Head Motion Systemsmentioning

confidence: 94%

Section: Review Findingsmentioning

confidence: 99%

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Using Inertial Sensors to Determine Head Motion—A Review

Severin

Dobrea

2021

J. Imaging

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“…Furthermore, MEMS accelerometers are typically capable of concurrently capturing acceleration data along multiple axes, enabling acquisition of three-dimensional motion. MEMS accelerometers have been employed in a wide range of measurement systems including impact quantification [12,13], vehicle monitoring [14], vibration analysis of rotating machinery [15][16][17][18], as well as gesture and motion tracking [19][20][21].…”

Section: Hardware In Contextmentioning

confidence: 99%

IoT connected device for vibration analysis and measurement

Koene¹,

Klar²,

Viitala³

2020

HardwareX

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Accelerometers are widely used in applications, such as condition measurement, motion tracking, and vehicle monitoring. Most handheld smart devices, such as smart phones and tablets, employ accelerometers for motion tracking. The size constraints of such devices has provided the impetus to develop precise, affordable, compact, and powerefficient accelerometers. Microelectromechanical systems (MEMS) accelerometers meet these strict requirements, thus explaining their wide adoption in the smart device market. The increasing cost-performance ratio, particularly regarding accuracy and bandwidth, of modern MEMS accelerometers enables their use in demanding measurement applications. This research introduces an open source battery-powered Internet of Things MEMS accelerometer called Memsio. Memsio is a versatile wireless sensor unit that can be deployed to measure a wide range of different motions. It is operated from a web browser, thus rendering it remotely accessible via smart phone, tablet, or computer. Furthermore, Memsio offers high-speed motion data acquisition capabilities and can store extended measurement periods lasting dozens of minutes; in addition, its wireless and portable nature eases integration in condition monitoring applications. The study presented reports on the construction and functionality of Memsio. Additionally, the functionality of Memsio is demonstrated in the measurement of translational movement of a linear actuator and the vibrations of large rotating machinery.

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“…In this model, open source hardware designs, ideally made with free and open source software [75][76][77], are shared freely on the Internet, downloaded, and then manufactured on site, normally for substantial economic savings [78]. This concept can be applied to medical supplies [79][80][81][82] and there are already examples [83][84][85][86][87][88][89][90][91][92] and calls for open source development of medical devices [93][94][95][96]. There is substantial evidence that funders, which invest in open source design for medical equipment can expect large rates of return as products can then be fabricated for little more than material costs [94,[97][98][99].…”

Section: Introductionmentioning

confidence: 99%

Distributed Manufacturing of Open Source Medical Hardware for Pandemics

Pearce

2020

JMMP

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Distributed digital manufacturing offers a solution to medical supply and technology shortages during pandemics. To prepare for the next pandemic, this study reviews the state-of-the-art of open hardware designs needed in a COVID-19-like pandemic. It evaluates the readiness of the top twenty technologies requested by the Government of India. The results show that the majority of the actual medical products have some open source development, however, only 15% of the supporting technologies required to produce them are freely available. The results show there is still considerable research needed to provide open source paths for the development of all the medical hardware needed during pandemics. Five core areas of future research are discussed, which include (i) technical development of a wide-range of open source solutions for all medical supplies and devices, (ii) policies that protect the productivity of laboratories, makerspaces, and fabrication facilities during a pandemic, as well as (iii) streamlining the regulatory process, (iv) developing Good-Samaritan laws to protect makers and designers of open medical hardware, as well as to compel those with knowledge that will save lives to share it, and (v) requiring all citizen-funded research to be released with free and open source licenses.

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Mouthguard-based wireless high-bandwidth helmet-mounted inertial measurement system

Cited by 5 publications

References 14 publications

Using Inertial Sensors to Determine Head Motion—A Review

Using Inertial Sensors to Determine Head Motion—A Review

IoT connected device for vibration analysis and measurement

Distributed Manufacturing of Open Source Medical Hardware for Pandemics

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