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Recognition of low amplitude body vibrations via inertial sensors for wearable computing

: Haescher, Marian; Bieber, Gerald; Trimpop, John; Urban, Bodo; Kirste, Thomas; Salomon, Ralf

Postprint urn:nbn:de:0011-n-4182037 (857 KByte PDF)
MD5 Fingerprint: 8a6a09a09f0751862769fcae57bb62b5
Erstellt am: 26.2.2019

Giaffreda, R.:
Internet of Things. User-Centric IoT. First International Summit, IoT 2014 : Rome, Italy, October 27-28, 2014, Revised Selected Papers, Part I
Cham: Springer International Publishing, 2015 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 150)
ISBN: 978-3-319-19655-8 (Print)
ISBN: 978-3-319-19656-5 (Online)
International Summit "Internet of Things" (IoT) <1, 2014, Rome>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IGD ()
Fraunhofer IGD-R ()
Business Field: Digital society; Research Area: Human computer interaction (HCI); acceleration sensor; activity monitoring; feature recognition; smart device; smart watches

Pathological shaking of the body or extremities is widely known and might occur at chronic diseases e.g. Parkinson. The rhythmical shaking, also known as tremor, can be such intense that extremities are flapping. Under certain circumstances, healthy people also show a shivering and shaking of their body. For example, humans start to shiver whenever it is too cold or if feelings such as stress or fear become dominant. Some wearable devices that are in direct contact to the body, such as smartwatches or smartglasses, provide a sensing functionality of acceleration force that is sufficient to detect the tremor of the wearer. The tremor varies in frequency and intensity and can be identified, by applying detection algorithms and signal filtering. Former works figured that all endotherms show muscle vibrations. These vibrations occur in the condition of sleeping as well as when being awake, or in unconsciousness. Furthermore, the vibrations are also present when subjects are physically active, emotionally stressed, or absolutely relaxed. The vibration itself varies in structure, amplitude, and frequency. This paper shows that these muscle vibrations are measureable by acceleration sensors attached to the user, and provides an outlook to new applications in the future. It also proves that custom mobile devices are able to detect body and muscle vibration and should motivate designers to develop new applications and treatment opportunities.