Doyeon Han

Mr. Doyeon Han

Kyung Hee Univerisity
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 May 2019 in PLOS ONE
Verified
Journal Article
Open access
PDF file
MPMoon Young Park
Moon Young Park
DHDoyeon Han
Doyeon Han
JLJung Ho Lim
Jung Ho Lim
MSMin Kyung Shin
Min Kyung Shin
YHYoung Rok Han
Young Rok Han
KKKyung Sook Kim
Kyung Sook Kim
In recent years, safety issues surrounding robots have increased in importance, as more robots are in close contact with humans, both in industrial fields and elsewhere. Safety standards for industrial robots operating in specific spaces have been established, but no such standards have been specified for collaborative and service robots. To establish safety standards for such robots, we assessed pressure pain thresholds for collisions between humans and robots, under the assumption that the pain threshold is lower than the mild injury threshold. The pressure pain threshold for collision with a robot was measured in 90 male Korean adults using a homemade collision system. The pain thresholds were measured three times at 15 sites, including the forehead. The highest threshold was 196.1 ± 85.8 N/cm2 at the back of the hand, and the lowest was 65.1 ± 22.6 N/cm2 at an arm nerve. Moderate thresholds, i.e., 100–120 N/cm2, were noted on the forehead, neck muscle, ball of the thumb, and shin. The thresholds of participants < 30 years of age were lower, by 3–33%, than those of participants aged > 30 years. Thresholds differed by body mass index only at certain sites, including the shoulder joint, neck, and back of the hand. The pressure pain threshold depended on individual characteristics, body site, and age. The threshold relevant to potential human-robot collisions was determined to be between 65.1 ± 22.6 and 196.1 ± 85.8 N/cm2.

13 April 2022 in Sensors
Verified
Journal Article
Open access
PDF file
DHDoyeon Han
Doyeon Han
MPMoon Young Park
Moon Young Park
JCJunsuk Choi
Junsuk Choi
HSHeonseop Shin
Heonseop Shin
DKDong Hwan Kim
Dong Hwan Kim
SRSungsoo Rhim
Sungsoo Rhim
With the development of robot technology, robot utilization is expanding in industrial fields and everyday life. To employ robots in various fields wherein humans and robots share the same space, human safety must be guaranteed in the event of a human–robot collision. Therefore, criteria and limitations of safety need to be defined and well clarified. In this study, we induced mechanical pain in humans through quasi-static contact by an algometric device (at 29 parts of the human body). A manual apparatus was developed to induce and monitor a force and pressure. Forty healthy men participated voluntarily in the study. Physical quantities were classified based on pain onset and maximum bearable pain. The overall results derived from the trials pertained to the subjective concept of pain, which led to considerable inter-individual variation in the onset and threshold of pain. Based on the results, a quasi-static contact pain evaluation method was established, and biomechanical safety limitations on forces and pressures were formulated. The pain threshold attributed to quasi-static contact can serve as a safety standard for the robots employed.

1 June 2018
Verified
Conference Paper
Closed access
DHDoyeon Han
Doyeon Han
MPMoon Young Park
Moon Young Park
HSHeonsheop Shin
Heonsheop Shin
KKKyung Sook Kim
Kyung Sook Kim
SRSungsoo Rhim
Sungsoo Rhim
Over the last few years, the robotics technology has rapidly evolved in terms of the safety enhancement. With the improvement the collaborative operation between the industrial robot and the human is now an appealing viable option. As the collaboration between the human and robot becomes more frequent, the requirement for the safety of the human in the case of collision with the robot draws much more attention. From this point of view, lot of research about the collision safety of the human has been reported recently. Most of them, however, are focused on the severe collision cases of the fatal injury. Which is mainly due to the lack of the analysis data for the minor injury. In this paper, the skin injury that is defined as a minor injury is analyzed with experimental data. Based on the analysis result, the acceptable impact (collision) condition for the robot is estimated.