Gesture recognition system for real-time mobile robot control based on inertial sensors and motion strings

Stani, Ivo; Musi, Josip; Gruji, Tamara

doi:10.1016/j.engappai.2017.08.013

Cited by 29 publications

(17 citation statements)

References 34 publications

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“…In some studies on portable teleoperation, (8,28,29) teleoperation was implemented using 2.4 GHz wireless technology. The applications of these studies are obviously limited by the communication distance.…”

Section: Discussionmentioning

confidence: 99%

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Design and Development of Portable LoRa-based Teleoperation Controller

Lin¹,

Lan²,

Chen³

et al. 2020

Sensors and Materials

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In Industry 4.0, the applicability of wireless communication is superior to that of wired communication because of the mobility, lower cost, and faster internet deployment. Wireless local area networks (WLANs), such as Bluetooth low energy (BLE) and Wi-Fi, have the advantages of a high bandwidth and transmission speed. However, they have drawbacks, such as their limited transmission distances and the high likelihood of interference from other floors. Therefore, the applicability of wireless teleoperated control in complex factory environments is limited when a WLAN is used. The objective of the present study was to develop a portable long range (LoRa)-based teleoperation controller (PLTC) to solve this problem. LoRa is a lowpower wide-area network (LPWAN) technology, which is a suitable approach to communication for PLTCs owing to its physical characteristics of long distance and low frequency. Accordingly, we designed an intuitive teleoperation controller with an inertial measurement unit (IMU) sensor and processed the attitude signal using a complementary filter to operate a robotic arm stably. The IMU is an effective and generally applicable sensor for measuring the attitude of devices. Finally, we integrated a LoRa module and a robotic arm to realize longdistance teleoperation control in a harsh factory environment. The results of this study provide a useful reference for controller development and sensor applications for Industry 4.0.

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Section: Discussionmentioning

confidence: 99%

“…In Ref. 29, distributed controllers were worn on the wrist and forefinger to respectively predict gestures by measuring the attitude from individual accelerometers and gyroscopes. However, the teleoperation of an object by specific gestures resulted in slightly unsatisfactory intuitive control.…”

Section: Discussionmentioning

confidence: 99%

Design and Development of Portable LoRa-based Teleoperation Controller

Lin¹,

Lan²,

Chen³

et al. 2020

Sensors and Materials

View full text Add to dashboard Cite

show abstract

“…A method for estimating the location of pointing gesture is also introduced, in which a NAO Robot has to approach a specific location and analyze which objects are present, trying to deduce which object the user was referring to. Besides vision-based gesture interface, inertial sensors are also widely investigated in Stančić et al or Jiang et al [36,37].…”

Section: Hri In Service Roboticsmentioning

confidence: 99%

Review of Interfaces for Industrial Human-Robot Interaction

Berg

2020

Curr Robot Rep

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Purpose of Review The review presents an overview of research approaches on human-robot interfaces in industrial and service robotics. Recent Findings Research approaches address especially speech and gesture recognition in both fields but are more explored in service robotics. However, the importance of interfaces in industrial robots increases. Summary The development of human-robot interfaces is leading towards intuitive interfaces, especially using speech and gesture recognition and combining them to multimodal interfaces.

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“…Complex forms of movement focus on localized body behavior. A BTS covers a range of positions for wearable devices according to behavioral characteristics, such as a head controller [91,92], smart gloves [93,94], an exoskeleton for the waist [95,96,97], and smart shoes [98,99]. In addition, smart textiles provide possibilities for behavior recognition.…”

Section: Systematic Analysis Of Framework Unitsmentioning

confidence: 99%

Systematic Analysis of a Military Wearable Device Based on a Multi-Level Fusion Framework: Research Directions

Shi

Zhang

Liu

et al. 2019

Sensors

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With the development of the Internet of Battlefield Things (IoBT), soldiers have become key nodes of information collection and resource control on the battlefield. It has become a trend to develop wearable devices with diverse functions for the military. However, although densely deployed wearable sensors provide a platform for comprehensively monitoring the status of soldiers, wearable technology based on multi-source fusion lacks a generalized research system to highlight the advantages of heterogeneous sensor networks and information fusion. Therefore, this paper proposes a multi-level fusion framework (MLFF) based on Body Sensor Networks (BSNs) of soldiers, and describes a model of the deployment of heterogeneous sensor networks. The proposed framework covers multiple types of information at a single node, including behaviors, physiology, emotions, fatigue, environments, and locations, so as to enable Soldier-BSNs to obtain sufficient evidence, decision-making ability, and information resilience under resource constraints. In addition, we systematically discuss the problems and solutions of each unit according to the frame structure to identify research directions for the development of wearable devices for the military.

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Gesture recognition system for real-time mobile robot control based on inertial sensors and motion strings

Cited by 29 publications

References 34 publications

Design and Development of Portable LoRa-based Teleoperation Controller

Design and Development of Portable LoRa-based Teleoperation Controller

Review of Interfaces for Industrial Human-Robot Interaction

Systematic Analysis of a Military Wearable Device Based on a Multi-Level Fusion Framework: Research Directions

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