TY - JOUR AB - Purpose This paper aims to provide an approach of modeling haptic impressions of surfaces over a wide range of applications by using multiple sensor sources.Design/methodology/approach A multisensory measurement experiment was conducted using various leather and artificial leather surfaces. After processing of measurement data and feature extraction, different learning algorithms were applied to the measurement data and a corresponding set of data from a sensory study. The study contained evaluations of the same surfaces regarding descriptors of haptic quality (e.g. roughness) by human subjects and was conducted in a former research project.Findings The research revealed that it is possible to model and project haptic impressions by using multiple sensor sources in combination with data fusion. The presented method possesses the potential for an industrial application.Originality/value This paper provides a new approach to predict haptic impressions of surfaces by using multiple sensor sources. VL - 38 IS - 3 SN - 0260-2288 DO - 10.1108/SR-07-2017-0123 UR - https://doi.org/10.1108/SR-07-2017-0123 AU - Schlegel Peter AU - Gussen Lars C. AU - Frank Daniel AU - Schmitt Robert H. PY - 2018 Y1 - 2018/01/01 TI - Modeling perceived quality of haptic impressions based on various sensor data sources T2 - Sensor Review PB - Emerald Publishing Limited SP - 289 EP - 297 Y2 - 2024/03/29 ER -