Launching drones often requires several steps that the operator needs to complete. Yet, in many scenarios, such as search and rescue, saving time is crucial. For instance, rescue personnel might be occupied with safety-critical tasks, while needing to operate drones to get an overview of the environment. We propose the concept of a drone that is located on the human body (e.g., on the back). The drone can take-off and land without human intervention. We plan to build a working prototype and investigate drone maneuvers that are suitable for both taking off and landing operations on the human body. We will further investigate the operator's perception and extract task-related design factors. This work will help derive guidelines for implicit humandrone interaction at close proximity.
This paper is published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license. Authors reserve their rights to disseminate the work on their personal and corporate Web sites with the appropriate attribution. Interdisciplinary Workshop on Human-Drone Interaction (iHDI 2020) CHI ’20 Extended Abstracts, 26 April 2020, Honolulu, HI, US © Creative Commons CC-BY 4.0 License.
Drones will likely become ubiquitous companions for
humans in the near future. They can be used for a range of
applications, such as video production and photography, to
guide visually impaired people [
The use-cases for drones are versatile, yet we find that the interaction is often centered around the human body. That topic was exposed in prior work designing a drone user interface projected around the user’s body [8]. However, we note that the close proximity of the drone to the user is still not yet investigated in the literature. In prior robotics work, researchers had investigated the use of robots on a user’s body [10], which inspired our work.
We find examples of body-worn drones like the Nixie which is used for photography [1]. This wrist-worn drone can be used on-demand to take selfies of its operator. Similar to the Nixie drone, we propose to develop a drone that can land-on and take-off from the human body. Being in close proximity to the user opens new doors to human drone interaction through multiple modalities, from vibrations to pulling or bumping into the user.
To enable this close interaction, we explore how a drone
can land-on and take-off from a person’s body. We envision
several scenarios that would benefit from such functionality.
For example, drone operators can seamlessly start and
stop operating a drone that might be attached to the back of
the operator. In such a situation, rescue personnel can use
drones while being engaged in safety-critical tasks.
Such a drone requires two major considerations: 1. the
technical capability for the drone to attach and detach
itself to the human body, and 2. the user’s acceptability of
close body interaction. We indeed envision that the design
of the drone and its position with regards to the person will
affect its acceptability. Prior work highlighted many design
factors that influence the perception of a drone user [
As such, we plan to prototype different form factors and technical solutions suited for taking-off and landing-on the human body. That includes the design and development of bespoke drones with diverse mechanisms (e.g., electric magnets, hooks, and textile solutions), for the drone to attach itself to its operator. We then propose to develop a framework for close human-drone interaction that will enable us to research and identify suitable flight behavior and design factors to accomplish automated land and take-off procedures on the human body.
In the following, we propose a design space for body-worn drones and discuss each of the identified dimension.
We want to investigate which parts of the body are suitable to serve as a spot for drones to land and take-off. This can influence the design and size of the drone, as well as its flight behavior (i.e., take-off and landing procedures). An important question to be considered, is how the user perceives the drone while it is approaching various body parts. We consider the following body locations: Back. The back might offer plenty of space for a drone to land. Possible larger drones might be deployed on the back of a user. Further, functional garments might provide anchoring on the back. The back might be suitable for drones that take-off and land while the operator is engaged in a task. We expect that the posture of the user will present some importance. For example, when the drone is hanging vertically from the back (e.g., like a fly on a wall), it must carry out a specific maneuver to stabilize itself in the air when it takes off. Such a procedure must be done safely to protect the user.
Shoulder. Like a parrot, a drone could rest on the shoulder of a user. Smaller, light-weighted drones might be suitable in this case. Safety means and specific maneuvers should be investigated due to the proximity to the user’s face. Head. Drones that are deployed on the head might have a special design. The proximity to the face will influence both design and maneuvering operations. Drones in close proximity to the head require a small-size and light-weight design, so that the drone does not get in the way of the human body sensory systems. Helmets might serve as a ramp for the drone to land and take off.
Arm. Like a falcon a drone could land on the arm [
Since the drone should remain on the human body after landing, we will investigate materials and techniques to attach drones to the body. We are considering different hardware solutions, from electric magnets to velcro tape. Specially designed clothing might provide docking capabilities for easier landing and take-off, although we prefer ad-hoc solutions that do not require the user to wear specific equipment. We will investigate how a drone can rest on a person’s body, while not falling off while he/she is moving. We propose that the drone may use its own force to stabilize itself on the human body.
Triggering take-off and landing sequences can be done
in various ways. It can be automated with no hands used
or triggered explicitly by the user (e.g., the drone can be
grabbed and put into place). The drone might detect
gestures, speech commands, or context to initiate take-off and
landing. It will therefore be important to communicate the
intent of the drone to the user and vice versa. If a drone
approaches the user to land, the user should understand
the next steps of the drone’s landing process. This can
be achieved by wearing smart glasses that display the
flight plan or even Augmented Reality (AR) to visualize the
planned trajectory of the drone. We expect that lights might
be used to communicate intent, [
The size of a drone will most likely determine its use cases. A small drone with a camera can be used for scouting and overview, while a larger drone can enable physical interaction with the user and other objects (e.g., carrying a payload). These factors will influence the drone design and determine the interaction space.
We outline three different application scenarios in which we envision close-to-body drones to be applicable.
Rescue personnel can benefit from drones that take-off automatically while being engaged in primary tasks. The drone could be used as a scout for planning a mission, while critical tasks can be fulfilled without the interruption, that is currently required, to start operating the drone. For example, in firefighting missions, the firefighters have to pay attention to their environment and protect their own life while trying to rescue survivors. A drone could be of great help to sense the surrounding environment, but should however do so without interrupting the firefighters or adding to their cognitive load.
Climbers might need an overview of their surroundings while being suspended at great heights. For example, they may want to check for changing weather conditions or map out their climbing path. Getting a drone to take off from one’s hand or from the ground while climbing might be complicated, if not dangerous, or impossible. We propose that a drone, attached to the back of a climber, could take-off and gather information before landing back on its operator. The action of take-off or landing could be done without requiring the use of the climbers hands. In addition, the drone could directly support the climber, such as by lifting and securing a carabiner. Such scenarios would increase the safety of the climber, especially when the climber is exhausted or can not reach the next spot to secure him/herself.
Close proximity to the user enables more intimate relationships between drones and humans. We expect such drones will be understood like a pet sitting on its owner’s shoulder, rather than as a piece of technology. As such, we envision that the drone could become a personal assistant. The drone can use the operator’s body as a base station (e.g., when charging) and take-off to perform off-body tasks, such as taking a photo (as in [1]), navigating the user to a destination, and transporting small objects. This exceeds the capabilities of today’s body-worn robots [10].
We plan the following steps to build and evaluate our prototype and to extract guidelines for close proximity humandrone interaction. In the initial step, we will gather literature on drones and on-body interaction to derive a suitable concept. Afterwards, we will implement the system (i.e., drone and the control application), so that the drone should be directed towards its target automatically. Once being in proximity to the target, it should initiate a suitable landing maneuver and attach itself to a person. Once attached, the drone should be able to identify opportune moments to take-off based on its role. After the implementation phase, we evaluate our prototype in a user study and derive guidelines from the study results.
We proposed to investigate close proximity drones that can land and take-off from the human body. First, we identified requirements to span an initial design space. We then discussed various aspects that must be considered for bodyworn drones, including body location, level of automation, drone shape and functionality. Finally, we introduced application scenarios and presented a research plan.
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