|
| Study | Activities | WWD | Phones |
|
| [64] | Falling | Shimmer platform with triaxis accelerometer MMA7461 | — |
| [65] | Step | Customized WWD, for comparison: Samsung Gear S, Motorola Moto 360, SKT Smart Band, and Xiaomi MI Band | iPhone 6 for comparison |
| [69] | Step | SparkFun 9DoF Razor IMU | Smartphone for data registering |
| [71] | 22 complex fine-grained activity contexts | Customized WWD | Samsung Galaxy S4 for data collection, Bluetooth beacon location tags in the physical environment |
| [16] | Two computing activities:
(i) Keystrokes
(ii) Web browsing | Moto 360 smartwatch Android 5.1 | Nexus 5X smartphone Android 6.0, Dell XPS laptop, 15-inch screen, and Linux Debian 8 |
| [68] | Holding mobile phone on left or right | Galaxy Gear Live smartwatch | Samsung Galaxy Note 4 |
| [2] | Cardiopulmonary resuscitation (CPR), 30/2 (30 compressions 2 rescue breaths) | LG G Watch R Smart | — |
| [70] | Two habitual movements:
(i) Hair touch
(ii) Restless leg movement | Data-logging platform and the electric potential sensor extension board. Can be integrated to smartwatch | — |
| [3] | Two eating activity:
(i) Hand-to-mouth gestures when eating
(ii) Unique head motions during chewing, chewing range: 1-2.5 Hz | Pebble Watch, Google Glass, preinstalled app developed to collect accelerometer data | — |
| [66] | 4 ambulation activities: walking, standing, sitting, and lying | Smartwatch, a fitness band or a clip on sensor | — |
| [6] | Useful computing tasks: writing a research paper | Smartwatch | Mobile and Google server |
| [72] | Mood recognition | PSYCHE wearable monitoring platform | — |
| [67] | Sitting, standing, household activities, and stationary cycling with two intensities | A PulseOn CLOUD PPG-based heart rate monitoring wristband (PulseOn, Espoo, Finland) with an embedded triaxial accelerometer | One Mobile phone |
|
