Raw data collected from selected studies
| Citation | Research focus | Types of wearables discussed | Utilisation | Wearing positon | Benefits |
|---|---|---|---|---|---|
| Alam et al. (2015) | Advanced system architecture for maintenance workers in extreme environments using augmented reality for accurate maintenance tasks. | Wireless personnel supervision system (WPSS) with AR | Augmenting | Head | Workplace health and safety |
| Baka and Uzunoglu (2016) | Protecting electricians from step-voltage hazards using wearable devices to detect step-voltages in industrial areas. | Workplace safety | |||
| Chen and Kamara (2011) | Introduces a framework for the implementation of mobile computing on construction sites and validates the result with case studies. | Head-mounted display, chest-mounted display | Delivering, Monitoring | Head, chest | Progress monitoring |
| Chu et al. (2014) | Experiments with a wearable robot for carrying heavy objects in shipbuilding works. Testing two types of wearable exoskeletons for industrial work. Testing the manoeuvrability and benefits of these robots. | Electro-hydraulic wearable robot and electric wearable robot | Assisting | Overall body | Improving worker health |
| Dubinsky et al. (2014) | Wearable-based mobile app to help with decision-making. Study identifies how wearable devices can identify situations involving cognitive dissonance. | ECG device, Nymi band, | Monitoring | ||
| Durkin and Lokshina (2015) | Studies about the impact of integrated wireless and mobile communication technologies on the corporate world. | EEG device, ECG tracker to apps on external devices | Monitoring, Tracking | Head | Workplace health and safety |
| Glance et al. (2016) | Measures the health and well-being of workers through assessments and activity programs in the workplace. | Digital pedometer: Fitbit, Jawbone and Misfit | Monitoring, Tracking | Wrist | Monitoring physiological |
| Hamper (2015) | Discusses how to use context-aware applications to promote physical activity. | Blood sugar and cholesterol sensors connected to apps on external devices | Monitoring | Wrist | Monitoring physiological |
| Kenn and Bürgy (2014) | Information about an augmented reality-based wearable system and why further research of such a system is required. | Head-mounted displays and complete head-worn computing devices | Augmenting, Delivering | Head | Industrial designing |
| Kim et al. (2009) | Discusses sensor-based feedback systems in organisational computing and how such systems can improve the performance and satisfaction of workers. | Sociometric badge | Tracking | Neck | Monitoring physiological |
| Kritzler et al. (2015) | Discusses wearable technology as a solution for workplace safety, explaining the ideas for, and implementation of, a safety system for personal protective equipment (PPE), based on wearable sensors and wireless technology. | PPE with beacons, smartwatches and apps on external devices | Monitoring | Wrist | Workplace health and safety |
| Lavallière et al. (2016) | Explains how wearable technologies can be used to tackle the challenges faced by an aging work force. | Smart safety helmet combined with EEG sensors and an inertial measurements unit | Monitoring | Head, chest | Monitoring physiological |
| K Leinonen et al. (2013) | Information about the use of augmented reality in construction work. | Smart glass with AR | Augmenting | Head | Industrial designing |
| Luo and Yu (2013) | Discusses reducing physical strain on the lower back with the help of a wearable stooping-assist device (WSAD). | WSAD | Assisting | Overall body | Improve worker health |
| Milosevic et al. (2012) | Discusses conducting simulations for nursing students with different type of tasks. Students wear wireless sensors, which detect stress to determine which tasks cause the most stress. | Zephyr BioHarness 3 | Monitoring | Chest | Monitoring physiological |
| Moran et al. (2013) | Discusses experiments on the effects of wearable tracking devices, comparing the reactions and attitudes of British and Japanese workers toward these devices. | RFID “UBI Tags” | Tracking | On the body | Monitoring physiological |
| Moran et al. (2012) | Discusses experiments on the effects of wearable tracking and performance monitoring devices in workplace. | RFID Wearable tags | Tracking | On the body | Monitoring physiological |
| Moran and Nakata (2010) | Discusses ubiquitous monitoring in the office focussing on user perceptions of wearable monitoring devices. | RFID wearable tags | Tracking | On the body | Monitoring physiological |
| Muaremi et al. (2013) | Discusses experiments to determine the solution for assessing the stress experience of people using features derived from smartphones and wearable chest belts. | Wahoo chest belt with applications on external devices | Monitoring | Chest | Monitoring physiological |
| Nadeem et al. (2015) | Provides information on scenarios where Body Area Sensor Network (BASN) can be used for both application and technical aspects. | ECG sensor node, Pulse Oximetry sensor node, EMG sensor node, inertial sensor node, artificial pancreas, blood pressure sensor node | Monitoring | Chest, finger, thigh, ankle, stomach, arms | Monitoring physiological |
| Nee et al. (2012) | Discusses different applications for augmented reality in industrial work. | Head-mounted display with AR | Augmenting, Delivering | Head | Industrial design |
| Nikayin et al. (2014) | Presents an illustrative case of a primary prevention programme in Finland using wearable devices in the work environment. | Pedometers | Monitoring | Wrist | Monitoring physiological |
| Peppoloni et al. (2014) | Discusses experiments on supermarket cashiers monitoring the physical strain on their hands as they perform constant repetitive movements. | Wearable inertial measurements units (WIMU) | Monitoring | Arm | Monitoring |
| Pina et al. (2012) | Presents a system designed to leverage Fitbit’s near-real-time, automated step-logging to detect sedentary behaviour and then prompt users to take walking breaks. | Fitbit+ | Tracking | Wrist | Monitoring physiological |
| Pioggia et al. (2009) | Explains the platform that analyses and merges sEMG signals and kinematics variables to provide coherent, dynamic information about the acquired movements. | BTS FREEEMG for sEMG, and a sensorised-Lycra garment | Tracking | Waist, thigh, knee | Monitoring physiological |
| Ranatunga et al. (2013) | Discusses using augmented reality to project 3D images on the surface of objects, and then manipulating those images with hand gestures. | Head-mounted display with AR | Augmenting, Delivering | Head | Improve workers’ health |
| Setz et al. (2010) | Discusses finding the line between regular cognitive load and stress in work situations. The test subjects were given difficult tasks in an attempt to cause stress and monitor it. | Emotion board | Monitoring | Arm | Monitoring physiological |
| Shirouzu et al. (2015) | Discusses using wearable devices such as an ECG and acceleration measuring device to find the causes of stress among kindergarten teachers. | MBIT-wearable ECG and acceleration measuring device | Monitoring | Chest | Monitoring physiological |
| Singh et al. (2015) | Explains how heart rate sensing in the workplace environment can be beneficial. | Fitbit, Fuel band, Jawbone UP, Nike+ | Monitoring, Tracking | Wrist | Monitoring physiological and physiological |
| Sole et al. (2013a) | Discusses using RFID tags to monitor the safety of employees and the correct use of safety devices. | RFID tags | Tracking | Chest, head, feet | Workplace safety |
| Sole et al. (2013b) | Discusses using RFID tags to monitor the safety of employees and the correct use of safety devices. | Passive RFID tags and sensors | Tracking | Chest, head, feet | Workplace safety |
| Yang et al. (2016) | Studies the reasons ironworkers fall. The collected data can be used to minimise the risk of falling or increase the safety of specific areas. | WIMU | Tracking | Any part of body | Workplace safety and security |
| Yang and Shen (2015) | Discusses using wearables to reduce the mental and physical stress of future employees and examining how such devices could bring aging populations back to work. | Smartwatch/electronic shirt | Monitoring | Wrist and body | Monitoring physiological |
| Zenonos et al. (2016) | This study focusses on the use of wearable technology embedded with physiological and movement sensors along with external devices (i.e. smartphone) and associated applications to recognise the moods of employees in workplace. | Toshiba Silmee, bar type, W20/W21 with apps on external devices | Monitoring, Tracking | Wristband | Monitoring physiological and physiological |
| Citation | Research focus | Types of wearables discussed | Utilisation | Wearing positon | Benefits |
|---|---|---|---|---|---|
| Advanced system architecture for maintenance workers in extreme environments using augmented reality for accurate maintenance tasks. | Wireless personnel supervision system (WPSS) with AR | Augmenting | Head | Workplace health and safety | |
| Protecting electricians from step-voltage hazards using wearable devices to detect step-voltages in industrial areas. | Workplace safety | ||||
| Introduces a framework for the implementation of mobile computing on construction sites and validates the result with case studies. | Head-mounted display, chest-mounted display | Delivering, Monitoring | Head, chest | Progress monitoring | |
| Experiments with a wearable robot for carrying heavy objects in shipbuilding works. Testing two types of wearable exoskeletons for industrial work. Testing the manoeuvrability and benefits of these robots. | Electro-hydraulic wearable robot and electric wearable robot | Assisting | Overall body | Improving worker health | |
| Wearable-based mobile app to help with decision-making. Study identifies how wearable devices can identify situations involving cognitive dissonance. | ECG device, Nymi band, | Monitoring | |||
| Studies about the impact of integrated wireless and mobile communication technologies on the corporate world. | EEG device, ECG tracker to apps on external devices | Monitoring, Tracking | Head | Workplace health and safety | |
| Measures the health and well-being of workers through assessments and activity programs in the workplace. | Digital pedometer: Fitbit, Jawbone and Misfit | Monitoring, Tracking | Wrist | Monitoring physiological | |
| Discusses how to use context-aware applications to promote physical activity. | Blood sugar and cholesterol sensors connected to apps on external devices | Monitoring | Wrist | Monitoring physiological | |
| Information about an augmented reality-based wearable system and why further research of such a system is required. | Head-mounted displays and complete head-worn computing devices | Augmenting, Delivering | Head | Industrial designing | |
| Discusses sensor-based feedback systems in organisational computing and how such systems can improve the performance and satisfaction of workers. | Sociometric badge | Tracking | Neck | Monitoring physiological | |
| Discusses wearable technology as a solution for workplace safety, explaining the ideas for, and implementation of, a safety system for personal protective equipment (PPE), based on wearable sensors and wireless technology. | PPE with beacons, smartwatches and apps on external devices | Monitoring | Wrist | Workplace health and safety | |
| Explains how wearable technologies can be used to tackle the challenges faced by an aging work force. | Smart safety helmet combined with EEG sensors and an inertial measurements unit | Monitoring | Head, chest | Monitoring physiological | |
| Information about the use of augmented reality in construction work. | Smart glass with AR | Augmenting | Head | Industrial designing | |
| Discusses reducing physical strain on the lower back with the help of a wearable stooping-assist device (WSAD). | WSAD | Assisting | Overall body | Improve worker health | |
| Discusses conducting simulations for nursing students with different type of tasks. Students wear wireless sensors, which detect stress to determine which tasks cause the most stress. | Zephyr BioHarness 3 | Monitoring | Chest | Monitoring physiological | |
| Discusses experiments on the effects of wearable tracking devices, comparing the reactions and attitudes of British and Japanese workers toward these devices. | RFID “UBI Tags” | Tracking | On the body | Monitoring physiological | |
| Moran | Discusses experiments on the effects of wearable tracking and performance monitoring devices in workplace. | RFID Wearable tags | Tracking | On the body | Monitoring physiological |
| Discusses ubiquitous monitoring in the office focussing on user perceptions of wearable monitoring devices. | RFID wearable tags | Tracking | On the body | Monitoring physiological | |
| Discusses experiments to determine the solution for assessing the stress experience of people using features derived from smartphones and wearable chest belts. | Wahoo chest belt with applications on external devices | Monitoring | Chest | Monitoring physiological | |
| Provides information on scenarios where Body Area Sensor Network (BASN) can be used for both application and technical aspects. | ECG sensor node, Pulse Oximetry sensor node, EMG sensor node, inertial sensor node, artificial pancreas, blood pressure sensor node | Monitoring | Chest, finger, thigh, ankle, stomach, arms | Monitoring physiological | |
| Discusses different applications for augmented reality in industrial work. | Head-mounted display with AR | Augmenting, Delivering | Head | Industrial design | |
| Presents an illustrative case of a primary prevention programme in Finland using wearable devices in the work environment. | Pedometers | Monitoring | Wrist | Monitoring physiological | |
| Discusses experiments on supermarket cashiers monitoring the physical strain on their hands as they perform constant repetitive movements. | Wearable inertial measurements units (WIMU) | Monitoring | Arm | Monitoring | |
| Presents a system designed to leverage Fitbit’s near-real-time, automated step-logging to detect sedentary behaviour and then prompt users to take walking breaks. | Fitbit+ | Tracking | Wrist | Monitoring physiological | |
| Explains the platform that analyses and merges sEMG signals and kinematics variables to provide coherent, dynamic information about the acquired movements. | BTS FREEEMG for sEMG, and a sensorised-Lycra garment | Tracking | Waist, thigh, knee | Monitoring physiological | |
| Discusses using augmented reality to project 3D images on the surface of objects, and then manipulating those images with hand gestures. | Head-mounted display with AR | Augmenting, Delivering | Head | Improve workers’ health | |
| Discusses finding the line between regular cognitive load and stress in work situations. The test subjects were given difficult tasks in an attempt to cause stress and monitor it. | Emotion board | Monitoring | Arm | Monitoring physiological | |
| Discusses using wearable devices such as an ECG and acceleration measuring device to find the causes of stress among kindergarten teachers. | MBIT-wearable ECG and acceleration measuring device | Monitoring | Chest | Monitoring physiological | |
| Explains how heart rate sensing in the workplace environment can be beneficial. | Fitbit, Fuel band, Jawbone UP, Nike+ | Monitoring, Tracking | Wrist | Monitoring physiological and physiological | |
| Discusses using RFID tags to monitor the safety of employees and the correct use of safety devices. | RFID tags | Tracking | Chest, head, feet | Workplace safety | |
| Discusses using RFID tags to monitor the safety of employees and the correct use of safety devices. | Passive RFID tags and sensors | Tracking | Chest, head, feet | Workplace safety | |
| Studies the reasons ironworkers fall. The collected data can be used to minimise the risk of falling or increase the safety of specific areas. | WIMU | Tracking | Any part of body | Workplace safety and security | |
| Discusses using wearables to reduce the mental and physical stress of future employees and examining how such devices could bring aging populations back to work. | Smartwatch/electronic shirt | Monitoring | Wrist and body | Monitoring physiological | |
| This study focusses on the use of wearable technology embedded with physiological and movement sensors along with external devices (i.e. smartphone) and associated applications to recognise the moods of employees in workplace. | Toshiba Silmee, bar type, W20/W21 with apps on external devices | Monitoring, Tracking | Wristband | Monitoring physiological and physiological |
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.