Table 2.
Multifaceted HAR application with varying HAR devices and AI
| App | Application | HAR device | Activity-type | AI model | Architecture | *CIT |
|---|---|---|---|---|---|---|
| cSurv | Crowd surveillance | Subway camera video footage | Group | DL | Laplacian eigenmap feature extraction and k-means clustering-based recognition | Thida et al. (2013) |
| Video data from mobile clips | ADL | DL | Transfer learning-based model using VGG-16 and InceptionV3 | Deep and Zheng (2019) | ||
| mHealthcare | Health monitoring | Smartphone sensor | ADL | DL | CNN (two variants CNN-2 and CNN-7) | Zhu et al. (2019) |
| Smartphone sensor | ADL | DL | Hierarchical model-based on DNN | Fazli et al. (2021) | ||
| On-body sensor (Watch and shoe) | ADL | DL | CapSense (a CNN capsule n/w) | Pham et al. (2020) | ||
| RFID data collection in an actual trauma room | Single person | DL | CNN model based on data collected from passive RFID tags for trauma resuscitation | Li et al. (2016) | ||
| sHome | Smart home/Smart cities | Smartphone sensor | ADL | DL | CNN (two variants CNN-2 and CNN-7) | Zhu et al. (2019) |
| Depth sensor | ADL | DL | 3DCNN (Color-skl-MHI and RJI) for elderly care in smart home | Phyo et al. (2019) | ||
| Wireless sensor | AAL | ML | Child activity monitoring based HAR model | Nam and Park (2013) | ||
| Video | Daily routine | ML | Disabled care HAR model | Jalal et al. (2012) | ||
| Wireless sensor | Forget and Repeat (AAL) | DL | RNN based smart home HAR model for dementia suffering patients | Arifoglu and Bouchachia (2017) | ||
| fDetect | Fall detection | Smartphone accelerometer | ADL | ML and DL | AdaBoost-HC, AdaBoost-CNN, SVM-CNN | Ferrari et al. (2020) |
| eMonitor | Exercise monitoring | Weizmann, KTH with ADL, Ballet: from DVD | ADL and Ballet dance moves | ML | SVM-KNN with PCA | Vishwakarma and Singh (2017) |
| Free weight exercise data recorded with RFID tags | Free weight exercise | RF | FEMO with Doppler shift profile | Ding et al. (2015) | ||
| gAnalysis | Gait analysis | SPHERE, DGD: DAI Gait | Gait pattern | ML | JMH feature and BagofKeyPoses recognition | Chaaraoui (2015) |
*CIT citation, RF conventional RF profiling, ML machine learning and DL deep learning, ADL activities of daily living, FEMO free weight exercise monitoring, Color-skl-MHI color skeleton motion history images, and RJI relative joint image