Improvement of panorama-based annotation overlay using omnidirectional vision and inertial sensors

To improve the workout efficiency and to provide the body movement suggestions to users in a “smart gym” environment, we propose to use a depth camera for capturing a user’s body parts and mount multiple inertial sensors on the body parts of a user to generate deadlift behavior models generated by a recurrent neural network structure. The contribution of this paper is trifold: 1) The multimodal sensing signals obtained from multiple devices are fused for generating the deadlift behavior classifiers, 2) the recurrent neural network structure can analyze the information from the synchronized skeletal and inertial sensing data, and 3) a Vaplab dataset is generated for evaluating the deadlift behaviors recognizing capability in the proposed method.

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A Preliminary Framework and Feasibility Study for Spacecraft Disturbance Source Detection and Isolation with Distributed Inertial Sensors

AIAA Scitech 2021 Forum ◽

10.2514/6.2021-1867 ◽

2021 ◽

Author(s):

Adam Augustyniak ◽

David J. Hanley ◽

Timothy W. Bretl ◽

Neil J. Hejmanowski ◽

David L. Carroll

Keyword(s):

Feasibility Study ◽

Inertial Sensors ◽

Source Detection ◽

Disturbance Source

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A Robust Self-Localization Method Based on Omnidirectional Vision for Soccer Robots

ROBOT ◽

10.3724/sp.j.1218.2010.00553 ◽

2010 ◽

Vol 32 (4) ◽

pp. 553-559

Author(s):

Huimin LU ◽

Hui ZHANG ◽

Shaowu YANG ◽

Zhiqiang ZHENG

Keyword(s):

Omnidirectional Vision ◽

Localization Method ◽

Soccer Robots

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Wearable Technologies in Field Hockey Competitions: A Scoping Review

Sensors ◽

10.3390/s21155242 ◽

2021 ◽

Vol 21 (15) ◽

pp. 5242

Author(s):

Jolene Ziyuan Lim ◽

Alexiaa Sim ◽

Pui Wah Kong

Keyword(s):

Heart Rate ◽

Inertial Sensors ◽

Wearable Devices ◽

Field Hockey ◽

Heart Rate Monitors ◽

Search Terms ◽

Physiological Demands ◽

And Performance ◽

Future Work ◽

Skin Temperatures

The aim of this review is to investigate the common wearable devices currently used in field hockey competitions, and to understand the hockey-specific parameters these devices measure. A systematic search was conducted by using three electronic databases and search terms that included field hockey, wearables, accelerometers, inertial sensors, global positioning system (GPS), heart rate monitors, load, performance analysis, player activity profiles, and competitions from the earliest record. The review included 39 studies that used wearable devices during competitions. GPS units were found to be the most common wearable in elite field hockey competitions, followed by heart rate monitors. Wearables in field hockey are mostly used to measure player activity profiles and physiological demands. Inconsistencies in sampling rates and performance bands make comparisons between studies challenging. Nonetheless, this review demonstrated that wearable devices are being used for various applications in field hockey. Researchers, engineers, coaches, and sport scientists can consider using GPS units of higher sampling rates, as well as including additional variables such as skin temperatures and injury associations, to provide a more thorough evaluation of players’ physical and physiological performances. Future work should include goalkeepers and non-elite players who are less studied in the current literature.

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Inertial Sensors and Inertial Measurement Units

Pedestrian Inertial Navigation with Self‐Contained Aiding ◽

10.1002/9781119699910.ch2 ◽

2021 ◽

pp. 17-36

Keyword(s):

Inertial Sensors ◽

Inertial Measurement Units ◽

Inertial Measurement ◽

Measurement Units

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Research on Measurement Method of Parachute Scanning Platform Based on MEMS Device

Micromachines ◽

10.3390/mi12040402 ◽

2021 ◽

Vol 12 (4) ◽

pp. 402

Author(s):

Ning Liu ◽

Tianqi Tian ◽

Zhong Su ◽

Wenhao Qi

Keyword(s):

Physical Simulation ◽

Inertial Sensors ◽

Rotational Velocity ◽

Attitude Measurement ◽

Matlab Simulation ◽

Scanning Angle ◽

Reduce Development Time ◽

Motion Parameters ◽

Motion Characteristics ◽

Scanning Motion

This paper studies the measurement of motion parameters of a parachute scanning platform. The movement of a parachute scanning platform has fast rotational velocity and a complex attitude. Therefore, traditional measurement methods cannot measure the motion parameters accurately, and thus fail to satisfy the requirements for the measurement of parachute scanning platform motion parameters. In order to solve these problems, a method for measuring the motion parameters of a parachute scanning platform based on a combination of magnetic and inertial sensors is proposed in this paper. First, scanning motion characteristics of a parachute-terminal-sensitive projectile are analyzed. Next, a high-precision parachute scanning platform attitude measurement device is designed to obtain the data of magnetic and inertial sensors. Then the extended Kalman filter is used to filter and observe errors. The scanning angle, the scanning angle velocity, the falling velocity, and the 2D scanning attitude are obtained. Finally, the accuracy and feasibility of the algorithm are analyzed and validated by MATLAB simulation, semi-physical simulation, and airdrop experiments. The presented research results can provide helpful references for the design and analysis of parachute scanning platforms, which can reduce development time and cost.

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Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation

Sensors ◽

10.3390/s21020601 ◽

2021 ◽

Vol 21 (2) ◽

pp. 601 ◽

Cited By ~ 1

Author(s):

Marco Germanotta ◽

Ilaria Mileti ◽

Ilaria Conforti ◽

Zaccaria Del Prete ◽

Irene Aprile ◽

...

Keyword(s):

Inertial Sensors ◽

Center Of Mass ◽

Correlation Coefficients ◽

Biomechanical Model ◽

Lower Limbs ◽

Accuracy Evaluation ◽

Postural Tasks ◽

Single Sensor ◽

Using Data ◽

Displacement Based

The estimation of the body’s center of mass (CoM) trajectory is typically obtained using force platforms, or optoelectronic systems (OS), bounding the assessment inside a laboratory setting. The use of magneto-inertial measurement units (MIMUs) allows for more ecological evaluations, and previous studies proposed methods based on either a single sensor or a sensors’ network. In this study, we compared the accuracy of two methods based on MIMUs. Body CoM was estimated during six postural tasks performed by 15 healthy subjects, using data collected by a single sensor on the pelvis (Strapdown Integration Method, SDI), and seven sensors on the pelvis and lower limbs (Biomechanical Model, BM). The accuracy of the two methods was compared in terms of RMSE and estimation of posturographic parameters, using an OS as reference. The RMSE of the SDI was lower in tasks with little or no oscillations, while the BM outperformed in tasks with greater CoM displacement. Moreover, higher correlation coefficients were obtained between the posturographic parameters obtained with the BM and the OS. Our findings showed that the estimation of CoM displacement based on MIMU was reasonably accurate, and the use of the inertial sensors network methods should be preferred to estimate the kinematic parameters.

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