Novel Estimation Method of Force Application Point for Cantilever‐Type MEMS Tactile Sensor

ABSTRACT In this paper, we propose a new evaluation method for the spatial distribution of sensitivity to force in a cantilever‐type MEMS tactile sensor developed in our laboratory. By combining the responses of two strain gauges attached to the cantilever with different coefficients, it is shown that the spatial distribution of sensitivity can be controlled, and the force application position and the magnitude of force can be predicted with high accuracy.

Authors

Institutions

Publication Details

Journal
Electrical Engineering in Japan
Published
2025-09-01
DOI
https://doi.org/10.1002/eej.23525
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Novel Estimation Method of Force Application Point for Cantilever‐Type MEMS Tactile Sensor

Masayuki Sohgawa, Ryusuke Mitobe, Takashi Abe, Harufumi Hosokawa
1 links
Electrical Engineering in Japan
Advanced Sensor and Energy Harvesting Materials
article

Novel Estimation Method of Force Application Point for Cantilever‐Type MEMS Tactile Sensor

Masayuki Sohgawa, Ryusuke Mitobe, Takashi Abe, Harufumi Hosokawa
article en

Abstract

ABSTRACT In this paper, we propose a new evaluation method for the spatial distribution of sensitivity to force in a cantilever‐type MEMS tactile sensor developed in our laboratory. By combining the responses of two strain gauges attached to the cantilever with different coefficients, it is shown that the spatial distribution of sensitivity can be controlled, and the force application position and the magnitude of force can be predicted with high accuracy.

Electrical Engineering in JapanVol. 218(3)
Niigata University (JP)
Openalex Percentile: Top 78%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.