# Smart Healthcare: Exploring the Internet of Medical Things with Ambient Intelligence
## 5 Utilization of AI Analysis in the IoMT
### Dataset Description
\begin{table}
\begin{tabular}{l l l} \hline \hline
**Dataset Name** & **Used Sensors** & **Application Area** \\ \hline DaphNetFoG [70] & Accelerometer & Monitoring PD patient’s walk, detection of freezing gait \\ \hline ActRecTut [70] & Accelerometer & Robust activity monitoring \\ \hline Nursing Activity [70] & iPod, Accelerometer & Nursing activity monitoring in the hospital \\ \hline HASC Corpus [70] & Smartphone, Smartwatch, Smartglass, Accelerometer & Basic activity recognition \\ \hline CASAS KYOTO [70] & Accelerometers, Gyroscope & Household activity monitoring \\ \hline CASAS ARUBA [70] & Accelerometers, Door sensors, and Temperature & Household activity monitoring \\ \hline HASC BDD [70] & Accelerometer, Gyroscope & Dancing activity recognition \\ \hline AmL Energy Expenditure [70] & Gyroscopes, Magnetometers, Accelerometers & Activities of daily living \\ \hline Parkinson Disease [70] & Accelerometer, Compass Ambient light, Audio sensors & Monitoring Parkinson disease \\ \hline SKODA [70] & Accelerometer & Car maintenance activity monitoring \\ \hline PPS Grouping [70] & Accelerometer, Gyroscope, Magnetometer, GPS, & Walking group formation detection \\ HCI & Accelerometer & Leg action recognition \\ \hline DSADS [70] & Accelerometer, Gyroscope, Magnetometer & Fitness monitoring \\ \hline MHealth [70] & Accelerometer, Gyroscope, Magnetometer & Activity recognition \\ \hline UjAml cup [70] & Smartwatch, Gyroscope, Magnetometer, other binary & Household activity monitoring \\ \hline Sussex Huawei Locomotion & Smartphones Accelerometer, Gyroscope, & Activity recognition \\ Dataset [70] & Magnetometer & Household activity monitoring \\ \hline WHARF [70] & Accelerometer & Household activity monitoring \\ \hline KU-HAR [70] & Smartphone, Accelerometer, Gyroscope & Activity monitoring \\ \hline EmotionSense [71] & Smartphone sensors (e.g: GPS, accelerometer, & Emotion recognition,mental health monitoring \\ \hline \hline \end{tabular}
\end{table} 
Table 6: _Cont._ \begin{table}
\begin{tabular}{l l} \hline \hline
**Organ** & **Description** \\ \hline Brain & Alzheimer’s Disease Neuroimaging Initiative (ADNI) [72] \\  & Brain MRI Dataset (Kaggle) [72] \\  & Open Access Series of Imaging Studies (OASIS) [72] \\  & Autism Brain Imaging Data Exchange (ABIDE) [73] \\  & Brain tumor segmentation challenge (BraTS) [74] \\ \hline Eye & Digital Retinal Images for Vessel Extraction (DRIVE) [72] \\  & Standard Diabetic Retinopathy Database Calibration (DIARETDB0 and DIARETDB1) [75] \\  & Messidor-2 Diabetic Retinopathy Database [75] \\  & Retinal Vessel Image set for Estimation of Widths (REVIEW) [75] \\  & DUKE [76] \\  & OPTIMA [76] \\ \hline Face & Wildet Faces [77] \\  & Wider face [77] \\  & Facial Paralysis Dataset [78] \\  & CK+ [79] \\  & UFBA-UESC Dental Images Dataset [80] \\  & Ctooth dataset [81] \\ \hline Spine & SpineWeb Dataset [82] \\  & MEASURE [83] \\  & PREVENT [83] \\  & National Health and Nutrition Examination Survey (NHANES II) [83] \\ \hline Neck & Digital Database Thyroid Image (DDTL) [84] \\ \hline Chest & NIH Chest X-ray Dataset [85] \\  & Kaggle Chest X-ray Images (pneumonia) [85] \\  & Mendeley Chest X-ray Images (pneumonia) [86] \\ \hline \hline \end{tabular}
\end{table} 
Table 7: List of available datasets for image/video processing in healthcare.