TY - JOUR
T1 - A Wearable Three-Axis Tactile Sensor for Human Fingertips
AU - Kristanto, Harris
AU - Sathe, Prathamesh
AU - Schmitz, Alexander
AU - Tomo, Tito Pradhono
AU - Somlor, Sophon
AU - Sugano, Shigeki
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2018/10
Y1 - 2018/10
N2 - Human training data can scaffold robot imitation learning. However, most datagloves only record joint angles, but for many tasks, force control is more important. They also cover the human skin, thereby making a natural interaction of the human with the object impossible. This letter suggests a wearable sensor that can measure the three-axis force vector exerted at the fingertip, without covering the skin that contacts the object. Using two small-sized Hall effect based three-axis sensors mounted on the sides of the fingertips, the finger pad deformation resulting from the force vector acting on the fingertip is measured. Experiments with ten subjects show that the force vectors can be measured with reasonable precision. Furthermore, the influence of the Earth's magnetic field and the finger's orientation on the finger tactile sensor's measurement has been reduced from ± 4N to ± 1N.
AB - Human training data can scaffold robot imitation learning. However, most datagloves only record joint angles, but for many tasks, force control is more important. They also cover the human skin, thereby making a natural interaction of the human with the object impossible. This letter suggests a wearable sensor that can measure the three-axis force vector exerted at the fingertip, without covering the skin that contacts the object. Using two small-sized Hall effect based three-axis sensors mounted on the sides of the fingertips, the finger pad deformation resulting from the force vector acting on the fingertip is measured. Experiments with ten subjects show that the force vectors can be measured with reasonable precision. Furthermore, the influence of the Earth's magnetic field and the finger's orientation on the finger tactile sensor's measurement has been reduced from ± 4N to ± 1N.
KW - Haptics and haptic interfaces
KW - force and tactile sensing
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U2 - 10.1109/LRA.2018.2864669
DO - 10.1109/LRA.2018.2864669
M3 - Article
AN - SCOPUS:85063304550
SN - 2377-3766
VL - 3
SP - 4313
EP - 4320
JO - IEEE Robotics and Automation Letters
JF - IEEE Robotics and Automation Letters
IS - 4
M1 - 8430516
ER -