Fit: A Fog Computing Device for Speech Tele-Treatments
Date of Original Version
There is an increasing demand for smart fog-computing gateways as the size of cloud data is growing. This paper presents a Fog computing interface (FIT) for processing clinical speech data. FIT builds upon our previous work on EchoWear, a wearable technology that validated the use of smartwatches for collecting clinical speech data from patients with Parkinson's disease (PD). The fog interface is a low-power embedded system that acts as a smart interface between the smartwatch and the cloud. It collects, stores, and processes the speech data before sending speech features to secure cloud storage. We developed and validated a working prototype of FIT that enabled remote processing of clinical speech data to get speech clinical features such as loudness, short-time energy, zero-crossing rate, and spectral centroid. We used speech data from six patients with PD in their homes for validating FIT. Our results showed the efficacy of FIT as a Fog interface to translate the clinical speech processing chain (CLIP) from a cloud-based backend to a fog-based smart gateway.
2016 IEEE International Conference on Smart Computing, SMARTCOMP 2016
Monteiro, Admir, Harishchandra Dubey, Leslie Mahler, Qing Yang, and Kunal Mankodiya. "Fit: A Fog Computing Device for Speech Tele-Treatments." 2016 IEEE International Conference on Smart Computing, SMARTCOMP 2016 , (2016). doi:10.1109/SMARTCOMP.2016.7501692.