Iza Husna Mohamad HashimShogo KumamotoKenjiro TakemuraTakashi MaénoShin OkudaYukio Mori
Tactile sensation is one type of valuable feedback in evaluating a product. Conventionally, sensory evaluation is used to get direct subjective responses from the consumers, in order to improve the product’s quality. However, this method is a time-consuming and costly process. Therefore, this paper proposes a novel tactile evaluation system that can give tactile feedback from a sensor’s output. The main concept of this system is hierarchically layering the tactile sensation, which is inspired by the flow of human perception. The tactile sensation is classified from low-order of tactile sensation (LTS) to high-order of tactile sensation (HTS), and also to preference. Here, LTS will be correlated with physical measures. Furthermore, the physical measures that are used to correlate with LTS are selected based on four main aspects of haptic information (roughness, compliance, coldness, and slipperiness), which are perceived through human tactile sensors. By using statistical analysis, the correlation between each hierarchy was obtained, and the preference was derived in terms of physical measures. A verification test was conducted by using unknown samples to determine the reliability of the system. The results showed that the system developed was capable of estimating preference with an accuracy of approximately 80%.
Emi AsagaKenjiro TakemuraTakashi MaénoAkane BanMasayoshi Toriumi
Yiquan XiongPengwen XiongYongyang WangJinhua HongPeter LiuAiguo Song
Bo‐Yeon LeeSeonggi KimSunjong OhYoungoh LeeJonghwa ParkHyunhyub KoJa Choon KooYoung Do JungHyuneui Lim
Luke E. OsbornHarrison NguyenJoseph BetthauserRahul R. KalikiNitish V. Thakor
Yongyang WangYu ZhangPengwen XiongMengChu ZhouJunjie LiaoAiguo Song