Gesture recognition in the problem of contactless control of an unmanned aerial vehicle

Nahapetyan, V. E.; Khachumov, Vyacheslav

doi:10.3103/s8756699015020132

Cited by 7 publications

(11 citation statements)

References 5 publications

(6 reference statements)

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“…Many previous studies have considered using drone control hand gestures without a controller, employing existing signaling systems, user responses, and the researcher's insight [22][23][24][28][29][30][31][32][33]. Following these earlier studies, we expect the proposed new gestural drone control interface to reduce the mental workload and replace unnatural communication processes.…”

Section: New Gestural Drone Controllermentioning

confidence: 85%

“… raising the hand to raise the drone and lowering it to lower the drone [22][23][24]29,[31][32][33]]  turning the hand to turn the drone [23,24,28,29,32,33] The reason that these gestures have many common features is that they are intuitive and natural. Therefore we proposed and constructed a gestural drone control interface with a lower mental workload and that is more intuitive and easier to learn, based on previous studies of natural drone control hand gestures.…”

Section: Figure 2: User Interface Of Conventional Gestural Controllermentioning

confidence: 99%

“…Therefore drone control interfaces that are closer to natural human behaviour will improve mental workload, learnability, and usability. Consequently, many studies are approaching drone piloting experience through the NUI [7,18,[22][23][24][25][26][27][28][29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

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Investigation of User Interface of Gyro-Sensor-Based Hand Gestural Drone Controller

Lee

Kim

2021

SAJIE

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Joystick controllers are used mainly for modern civil drones. However, joystick controllers are non-intuitive and require two hands to be used simultaneously. Therefore, although single-handed drone controllers using a joystick and hand gestures have been introduced, they have only replaced the right stick of the joystick controller with gyro sensors. While this approach retains interface continuity with conventional joystick controllers, it is not user-centric. Therefore we propose a gestural drone controller based on hand gestures, and compare it experimentally with conventional controllers, including an investigation of the effective differences depending on the user’s joystick experience. We separateparticipants into expert and novice joystick groups to investigate the joystick controller experience effects (e.g., radio-controlled cars, game consoles) for each controller type. The conventional joystick controller is found to be superior to the conventional gestural controller for five out of nine criteria, and superior to the proposed gestural controller for three out of nine criteria. The proposed gestural controller is more natural than the conventional gestural controller. There tends to be an interaction effect of the joystick experience and controller types, considering the naturalness of the controller.

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Section: New Gestural Drone Controllermentioning

confidence: 85%

Section: Figure 2: User Interface Of Conventional Gestural Controllermentioning

confidence: 99%

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Investigation of User Interface of Gyro-Sensor-Based Hand Gestural Drone Controller

Lee

Kim

2021

SAJIE

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“…In addition, there is an overwhelming amount of studies evaluating drone/robot manipulation techniques for adults, e.g. hand gestures (Sato et al 2007;Konda et al 2012;Nahapetyan and Khachumov 2015), full-body interactions (Pfeil et al 2013;Sanna et al 2013), wearables (Sugiyama et al 2011), gaze (Hansen et al 2014), speech (Stiefelhagen et al 2004;Fernandez et al 2016), etc. This contrasts with the few works on the topic with children as participants.…”

Section: Elicitation Studies With Adultsmentioning

confidence: 99%

Interactive spaces for children: gesture elicitation for controlling ground mini-robots

Pons

Jaén

2019

J Ambient Intell Human Comput

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Interactive spaces for education are emerging as a mechanism for fostering children's natural ways of learning by means of play and exploration in physical spaces. The advanced interactive modalities and devices for such environments need to be both motivating and intuitive for children. Among the wide variety of interactive mechanisms, robots have been a popular research topic in the context of educational tools due to their attractiveness for children. However, few studies have focused on how children would naturally interact and explore interactive environments with robots. While there is abundant research on full-body interaction and intuitive manipulation of robots by adults, no similar research has been done with children. This paper therefore describes a gesture elicitation study that identified the preferred gestures and body language communication used by children to control ground robots. The results of the elicitation study were used to define a gestural language that covers the different preferences of the gestures by age group and gender, with a good acceptance rate in the 6-12 age range. The study also revealed interactive spaces with robots using body gestures as motivating and promising scenarios for collaborative or remote learning activities. Highlights:•A gesture elicitation study on children manipulating ground robots is described • A full body gestural language for children to control ground robots is defined • Interactive scenarios using body gestures with robots are motivating for children

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“…Visual-based gestural interface for commanding drones was explored in ref. [9], where camera systems were used to track user gestures that were then interpreted as translational commands of a quadrotor. In ref.…”

Section: Introductionmentioning

confidence: 99%

User–Robot Interaction for Safe Navigation of a Quadrotor

Sánchez¹,

Abaunza²,

Castillo³

2020

Robotica

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SUMMARY This paper introduces an intuitive and safe command approach for a quadrotor, where inertial and muscular gestures are used for semi-autonomous flight. A bracelet composed of gyroscopes, accelerometers, and electromyographic sensors is used to detect user gestures, then an algorithm is proposed to interpret the signals as flight commands. The main goal is to provide a wearable, easy-to-handle human–machine interface for users a to safely command this kind of vehicles, even for inexpert operators. Safety measures are incorporated in the scheme to further enhance the user’s experience. Experimental tests are performed to validate the proposal.

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Gesture recognition in the problem of contactless control of an unmanned aerial vehicle

Cited by 7 publications

References 5 publications

Investigation of User Interface of Gyro-Sensor-Based Hand Gestural Drone Controller

Investigation of User Interface of Gyro-Sensor-Based Hand Gestural Drone Controller

Interactive spaces for children: gesture elicitation for controlling ground mini-robots

User–Robot Interaction for Safe Navigation of a Quadrotor

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