Development of a wireless low-power multi-sensor network for motion tracking applications

Comotti, D.; Ermidoro, Michele; Galizzi, Michael; Vitali, Andrea

doi:10.1109/bsn.2013.6575466

Cited by 26 publications

(21 citation statements)

References 5 publications

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“…A main advantage of Bluetooth based communication is the widespread availability among almost all kinds of hardware platforms. In general, the wireless IMU presented by [16] fulfills the application requirements, but is not available.…”

Section: Inertial Measurement Unitsmentioning

confidence: 98%

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Design space exploration of hardware platforms for interactive low latency movement sonification

Brückner

Theimer³

et al. 2015

J Multimodal User Interfaces

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Objective real-time acoustic feedback of complex movements arises in applications ranging from assisted training in sport to medical rehabilitation. This so called interactive movement sonification enables continuous feedback. Multiple studies have shown the benefit of sonification in movement relearning. Ubiquitous feedback requires a mobile and wearable hardware platform independent from any application. Therefore, in this paper a design space exploration regarding the design objectives power dissipation and latency is performed. Especially in sports or medical rehabilitation a low-latency feedback is crucial. Furthermore, low power dissipation mobile devices enable the utilization of the sonification technique within new applications. The most computational intensive task within the data-flow is realtime interactive sound synthesis. In contrast to commercial processors, customizable processors enable execution time reduction of critical sections by integration of application specific instruction set extensions. This paper aims to show the benefits from processor customization, as well as the location of consumer electronics devices within the design space. B Hans-Peter Brückner

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Section: Inertial Measurement Unitsmentioning

confidence: 98%

“…Besides IMUs using ZigBee [14] there are Bluetooth based IMUs [15,16]. A main advantage of Bluetooth based communication is the widespread availability among almost all kinds of hardware platforms.…”

Section: Inertial Measurement Unitsmentioning

confidence: 99%

Design space exploration of hardware platforms for interactive low latency movement sonification

Brückner

Theimer³

et al. 2015

J Multimodal User Interfaces

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“…We also have a fully functional skeletal hierarchical model, allowing for real-world like motions by the on-screen character. While we discuss our skeletal model more in Section IV, in essence the model in [45] anchors the character at the torso, whereas ours does so at the feet. This allows our character to easily walk and maneuver around the environment, whereas theirs is pinned and suspended in the air.…”

Section: Related Workmentioning

confidence: 99%

“…Though the iNEMO sensor had lower precision, it still performed well for a significantly smaller cost investment. iNEMO M1 sensors were then used to build a partial full-body tracking suit in [45]. Five sensors were used to track the orientations of the forearm, upper arm, torso, thigh and shin on the right side of the user's body.…”

Section: Related Workmentioning

confidence: 99%

Wearable Sensor Networks for Motion Capture

Arsenault¹,

Whitehead²

2015

Proceedings of the 7th International Conference on Intelligent Technologies for Interactive Entertainment

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Abstract-This work presents the development of a full body sensor-based motion tracking system that functions through wearable inertial sensors. The system is comprised of a total of ten wearable sensors and maps the player's motions to an onscreen character in real-time. A hierarchical skeletal model was implemented that allows players to navigate and interact with the virtual world without the need of a hand-held controller. To demonstrate the capabilities of the system, a simple virtual reality game was created. As a wearable system, the ability for the users to engage in activities while not being tied to a camera system, or being forced indoors presents a significant opportunity for mobile entertainment, augmented reality and interactive systems that use the body as a significant form of input. This paper outlines the key developments necessary to implement such a system.

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“…The attitude estimator using standard linear Kalman filter theory can be found in [6,7]. A much simpler kind of attitude estimator based on linear theory is linear complementary filter [8,9], which greatly reduces the calculation time needed, compared to Kalman filter having many matrix calculation.…”

Section: Introductionmentioning

confidence: 99%

A nonlinear attitude estimator for attitude and heading reference systems based on mems sensors

Wang

Soltani

Hussain

2016

2016 SICE International Symposium on Control Systems (ISCS)

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In this paper, a nonlinear attitude estimator is designed for an Attitude Heading and Reference System (AHRS) based on Micro Electro-Mechanical Systems (MEMS) sensors. The design process of the attitude estimator is stated with detail, and the equilibrium point of the estimator error model is proved to be asymptotically stable using LaSalle's invariance set theorem through limitation of the range of scalar element of quaternion without affecting practical use. Also, a new Lyapunov candidate function, satisfying continuously differentiable positive definite requirement, is presented to avoid the problems in previous research works. Moreover, the estimation of MEMS gyroscope bias is also inclueded in this estimator. The designed nonlinear attitude estimator is firstly tested in simulation environment and then implemented in an AHRS hardware for further experiments. Finally, the attitude estimation results from the designed AHRS are compared with a high-precision commercial AHRS to validate its estimation performance.

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Development of a wireless low-power multi-sensor network for motion tracking applications

Cited by 26 publications

References 5 publications

Design space exploration of hardware platforms for interactive low latency movement sonification

Design space exploration of hardware platforms for interactive low latency movement sonification

Wearable Sensor Networks for Motion Capture

A nonlinear attitude estimator for attitude and heading reference systems based on mems sensors

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