Sensor Analysis for a Modular Wearable Finger 3D Motion Tracking System

Bellitti, Paolo; Bona, Michele; Borghetti, Michela; Sardini, Emilio; Serpelloni, Mauro

doi:10.3390/proceedings2131051

Cited by 6 publications

(5 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The IMUs were calibrated according to the standard calibration procedures (an example is reported in [31]). The relationship between the strain and the resistance change of the stretch sensor is reported in [29] and [32]. The calculated gauge factor was 4.73 and the linear correlation coefficient (R 2 ) was equal to 0.98 in the range 0-10 %.…”

Section: Methodsmentioning

confidence: 99%

“…In previous works [11] and [29], we proposed different measurement systems for tracking finger movement, composed of different wearable modules with embedded sensors and electronics. The electronics elaborate the measurement signals and transmit the elaborated data to a mobile device, which displays and collects the data by using a software specifically designed for this application.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Validation of a modular and wearable system for tracking fingers movements

et al. 2020

Self Cite

View full text Add to dashboard Cite

<p class="Abstract">Supervising manual operations performed by workers in industrial environments is crucial in a smart factory. Indeed, the production of products with superior quality, at higher throughput rates and reduced costs with the support of the Industry 4.0 enabling technologies is based on the strict control of all the resources inside the factory, including workers. This paper shows a protocol for validating a new wearable system for tracking finger movements. The wearable system consists of two measuring modules worn on the thumb and on the index measuring flexion and extension of the proximal interphalangeal (PIP) joint by a stretch sensor and rotation of the proximal phalanx (PP) by an inertial measurement unit. An optical system is used to validate the system by capturing specific finger movements. Four movements that simulate typical tasks and gestures, such as grasp and pinch, were performed to validate the proposed system. The maximum root-mean-square error is 3.7 deg for the roll angle of PP. The resistance changes of the stretch sensors with respect to flexion and extension of PIP joint is 0.47 Ohm/deg. The results are useful for the data interpretation when the system is adopted for monitoring finger movements and gestures.</p>

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validation of a modular and wearable system for tracking fingers movements

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…The paper [17] was devoted to a finger motion tracking system, consisted of an IMU (Inertial Measurement Unit), for tracking the first phalange's motion, and a calibrated stretch sensor, for monitoring the flexion angle between the first and second phalanges. Later, [18] authors represented similar system, that used the same types of sensors for tracking motion of thumb and index fingers and recognized six predefined gestures.…”

Section: Related Workmentioning

confidence: 99%

Inertial Sensor Based Solution for Finger Motion Tracking

et al. 2020

View full text Add to dashboard Cite

Hand motion tracking plays an important role in virtual reality systems for immersion and interaction purposes. This paper discusses the problem of finger tracking and proposes the application of the extension of the Madgwick filter and a simple switching (motion recognition) algorithm as a comparison. The proposed algorithms utilize the three-link finger model and provide complete information about the position and orientation of the metacarpus. The numerical experiment shows that this approach is feasible and overcomes some of the major limitations of inertial motion tracking. The paper’s proposed solution was created in order to track a user’s pointing and grasping movements during the interaction with the virtual reconstruction of the cultural heritage of historical cities.

show abstract

“…For example, a multi-colored glove, whose positions are estimated as the distance between the colored centers of images, has been designed using a camera [12]. Inertial and magnetic measurement units have also been used to detect the positions of the joints of the sensor glove [13][14][15]. Furthermore, several real-time motion tracking systems, such as marker tracking [16], position change using light [17], and RGBdepth sensors [18], have been developed lately.…”

Section: Introductionmentioning

confidence: 99%

Multiple Tendon-inspired Sensors for Hand Motion Detection

Min¹,

Choi²,

Cha³

2023

Smart Mater. Struct.

View full text Add to dashboard Cite

In a motion tracking system, realistic presentation by a virtual avatar and detection are critical. Specifically, because the hand is an essential body part that interacts with other objects or humans in a virtual environment, accurate behavior tracking in real time is required. In this study, we propose a hand-motion detection glove using multiple tendon-inspired sensors. Remarkably, there are no sensors and electronics in the hand part of the glove. A piezoelectric sensor was positioned on the wrist part of the glove, which is connected to the tendon in the glove. The elongated piezoelectric sensors detect the angle from joint changes caused by motions of the hand. In addition, we designed a case to install multiple sensors on many joints of the fingers. To demonstrate the sensing ability for the bending motion of the finger, a series of sensor tests was conducted using a finger structure setup. We obtained the sensing results with changes in the rotational angles and frequencies. Moreover, the rotational angle can be estimated from the sensing data. Based on these results, a virtual hand system following real hand motion was constructed utilizing a motion detection glove with multiple tendon-inspired sensors. Finally, we investigated the effect of Young’s modulus, number of threads, and structure of the elastic thread to enhance the output of the sensors.

show abstract

Sensor Analysis for a Modular Wearable Finger 3D Motion Tracking System

Cited by 6 publications

References 4 publications

Validation of a modular and wearable system for tracking fingers movements

Validation of a modular and wearable system for tracking fingers movements

Inertial Sensor Based Solution for Finger Motion Tracking

Multiple Tendon-inspired Sensors for Hand Motion Detection

Contact Info

Product

Resources

About