Human machine interaction using zero force sensing switches incorporating self-adaptation

Martin Clifford Langner, David Sanders, Giles Tewkesbury, Malik Haddad, Shikun Zhou

Research output: Contribution to journalArticlepeer-review


A novel human machine interface is presented that ‘self-adapts’ to accommodate for changes in position between an operator and a non-contact sensor. Zero force sensing has been especially suitable for people with small amounts of movement force that has made switch operation difficult or impossible. A common issue with existing switches concerned maintaining a workable operating position for a user. Testing of new “auto adapting” sensors demonstrated the viability of the approach and optical sensors provided a workable solution, but problems were encountered in strong light. Further work addressed this problem.
Original languageEnglish
Number of pages6
JournalJournal of Physics: Conference Series
Publication statusAccepted for publication - 1 Nov 2021
Event2nd International Symposium on Automation, Information and Computing 2021 - China, Beijing , China
Duration: 3 Dec 20216 Dec 2021


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