Tactile sensing utilizing human tactile perception

Tanaka, Yoshihiro; Horita, Yoshihiro; Sano, Akihito; Fujimoto, Hideo

doi:10.1109/whc.2011.5945557

Cited by 24 publications

(14 citation statements)

References 13 publications

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“…15.2, wearable tactile sensors having the properties of self-reference and bidirectionality of haptic perception were proposed by Tanaka et al [20,21]. Here, human fingers are employed as a sensing probe.…”

Section: Tactile Sensing With a Human Fingermentioning

confidence: 99%

Simple Tactile Technologies Utilizing Human Tactile and Haptic Characteristics

Tanaka¹,

Sano²

2016

Pervasive Haptics

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Human tactile and haptic characteristics promote the development of tactile devices that are simple and effective. In addition, issues and ideas for tactile devices can be found from present needs and conditions of manufacturing and medical fields. This chapter presents tactile technologies that are based on human tactile and haptic characteristics. First, wearable and hand-held tactile sensors, tactile enhancing devices without an electronic element, and tactile sensing with a human finger are introduced. They were developed for surface irregularity inspections and texture evaluations. Then, a palpation system with sensory feedback for laparoscopic surgery is introduced. Finally, tactile design based on tactile illusion is introduced. It can combine a hard material and soft feel. These tactile technologies utilize the human haptic ability and structural enhancing mechanism, and human tactile perception.

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Section: Tactile Sensing With a Human Fingermentioning

confidence: 99%

Simple Tactile Technologies Utilizing Human Tactile and Haptic Characteristics

Tanaka¹,

Sano²

2016

Pervasive Haptics

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“…Bensmaïa et al attempted to measure these high frequency components as a finger was sliding over the surface of a material by using a Hall-effect transducer attached to the finger [6]. Similarly, the propagated vibratory information was acquired using a laser Doppler velocity meter [7,8], microphones [9], accelerometers [10], and PVDF films [11] attached to the finger close to the tip, as well as a microphone [12] on the forearm. Although these vibrations in the adjacent skin originate from the vibratory deformations of the finger pad, these methods were not to measure the deformations of the individual finger pad.…”

Section: Introductionmentioning

confidence: 99%

Wearable finger pad deformation sensor for tactile textures in frequency domain by using accelerometer on finger side

et al. 2017

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In this study, we set out to develop a method for estimating the fine and fast shear deformation of a finger pad, that is, the palm side of a fingertip, as it scans the surface of a material. Using a miniature accelerometer, we measured the acceleration at the radial skin, the deformation of which is accompanied by the shear deformation of the finger pad. Using a transfer function, as specified in a separate experiment, between the pad and side of a finger, we estimated the shear deformation of the finger pad in the frequency domain. A comparison between an estimate based on the accelerometer and another based on a precise force sensor for the tangential component of the interaction force between the fingertip and material surfaces showed that the estimation accuracy was sufficient for frequencies in excess of approximately 20-50 Hz and for skin deformation above 10 −6 m. Our technique merely requires that an accelerometer be attached to the side of the fingertip, which allows active texture exploration. These estimates or measurements of the finger skin deformation caused by touching materials will help us to comprehend the relationships between material surfaces and the resulting texture sensations.

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“…Hence, we have proposed a different approach of utilizing the humans finger as a sensor probe for the tactile sensor (Tanaka, et al, 2011). Information generated by the mechanical interaction between the human fingertip and the object surface, that is normal active touch in human haptic perception, is collected and is utilized for roughness evaluation.…”

mentioning

confidence: 99%

“…Basis idea for the proposed sensor was presented and a prototype of the proposed sensor was assembled in a previous study (Tanaka, et al, 2011). In this paper, an easily-wearable tactile sensor is assembled and influence of contact force and scanning velocity as parameters on exploratory movements on the sensor output is investigated.…”

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confidence: 99%

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Roughness evaluation by wearable tactile sensor utilizing human active sensing

Tanaka

Ueda

Sano

2016

Mechanical Engineering Journal

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IntroductionRoughness evaluation has been an important inspection for the quality of product surface or precision manufacturing in the industrial field. Conventional measurement devices are probe-type sensors with a stylus, but they are hard to be applied to curved surface or small product's surface. Human fingers are still necessary for such object surface evaluation in the industrial field since human fingers are flexible and applicable to narrow space and complex shape. However, the rating by human is subjective and is difficult to record and convey. Hence, this study is aimed to develop a tactile sensor capable of evaluating roughness on curved surface and small product surface as well as flat surface to replace the inspection by humans.Various tactile sensors and image processing technologies have been proposed for roughness or micro surface profile measurement. Image processing technologies have an advantage in wide area measurement, whereas they are not suitable for curved surface due to the limitation of height range (Li, et al., 2010). Many of tactile sensors for roughness or texture evaluation are active sensors, which include actuators for moving sensors and/or objects. For example, Sinapov et al. (2011) developed a tactile sensing system utilizing a robot arm with a three-axis accelerometer and showed that by applying several different exploratory behaviors on a test surface, the robot could recognize surfaces with different texture. In such tactile sensing system, robot arms/fingers with tactile sensors were controlled to Roughness evaluation by wearable tactile sensor utilizing human active sensing Abstract Humans can evaluate roughness on various shaped surfaces. Conventional roughness measurement sensors are difficult to apply to curved surface or small product's surface. In this paper, a simple tactile sensor utilizing human ability based on haptic bidirectionality is developed for the roughness evaluation. Humans can move their fingers while perceiving tactile sensations and change exploratory movements like contact force, scanning velocity, direction, etc. according to haptic perception and task objective. Our developed sensor is composed of two microphones and is mounted on a human fingertip. It allows users to touch the object without haptic obstruction. Users can apply the sensor while retaining their normal haptic perception and simultaneously obtaining vibrations and sound based on the mechanical interaction between the finger and the object. First, influence of contact force and scanning velocity on the sensor output is investigated. The experimental results show that the sensor output increases with a rise in the contact force but the influence of the scanning velocity varies between individuals. Then, on the basis of the results, experiment of roughness evaluation is conducted for flat surface and curved surface. A constant normal force and scanning velocity are exerted and the collected sensor output is calibrated by using the sensor output for the middle-roughness sample. The results...

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Tactile sensing utilizing human tactile perception

Cited by 24 publications

References 13 publications

Simple Tactile Technologies Utilizing Human Tactile and Haptic Characteristics

Simple Tactile Technologies Utilizing Human Tactile and Haptic Characteristics

Wearable finger pad deformation sensor for tactile textures in frequency domain by using accelerometer on finger side

Roughness evaluation by wearable tactile sensor utilizing human active sensing

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