Table 6.
Fall detection by fusion of wearable sensors from 2014 to 2020.
| Fusion within wearable sensors | |||||||
|---|---|---|---|---|---|---|---|
| References | Sensor | No. subjects (age) | Data sets | Algorithms | Real-time (Alarm) | Fusion method | Platforms |
| Kerdjidj et al. (2020) | Accelerometer, Gyroscope | 17 (N/A) | Simulated | Compressive sensing | Y (N/A) | Feature fusion | N/A |
| Xi et al. (2020) | Electromyography, Plantar Pressure | 12 (23–27) | Simulated | FMMNN, DPK-OMELM | Y (Y) | Feature fusion | N/A |
| Chelli and Pätzold (2019) | Accelerometer, Gyroscope | 30 (N/A) | Public (Simulated) | KNN, ANN, QSVM, EBT | Y (N/A) | Feature fusion | N/A |
| Queralta et al. (2019) | Accelerometer, Gyroscope, Magnetometer | 57 (20-47) | Public (Simulated) | LTSM | Y(Y) | Feature fusion | N/A |
| Gia et al. (2018) | Accelerometer, Gyroscope, Magnetometer | 2 (N/A) | N/A | Threshold | Y (Y) | Feature fusion | N/A |
| de Quadros et al. (2018) | Accelerometer, Gyroscope, Magnetometer | 22 (mean = 26.09) | Simulated | Threshold/ML | N/A | Feature fusion | N/A |
| Yang et al. (2016) | Accelerometer, Gyroscope, Magnetometer | 5 (N/A) | Simulated | SVM | Y (Y) | Feature fusion | PC |
| Pierleoni et al. (2015) | Accelerometer, Gyroscope, Magnetometer | 10 (22–29) | Simulated | Threshold | Y (Y) | Feature fusion | ATmega328p (ATMEL) |
| Nukala et al. (2014) | Accelerometer, Gyroscopes | 2 (N/A) | Simulated | ANN | Y (N/A) | Feature fusion | PC |
| Kumar et al. (2014) | Accelerometer, Pressure sensors, Heart rate monitor | N/A | Simulated | Threshold | Y (Y) | Partial fusion | PC |
| Hsieh et al. (2014) | Accelerometer, Gyroscope | 3 (N/A) | Simulated | Threshold | N/A | Partial fusion | N/A |