Wearable sensing devices for upper limbs: A systematic review

Dong, Mingjie; Fang, Bin; Li, Jianfeng; Sun, Fuchun; Liu, Huaping

doi:10.1177/0954411920953031

Cited by 25 publications

(12 citation statements)

References 110 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the trunk, studies have placed the wearables at different positions on the back, chest, waist, or hip to identify activities such as walking, running, lying, standing, etc. Finally, on the head, they are usually included in a headband or placed behind the ears [12].…”

Section: Related Work 1human Movement Analysis (Hma)mentioning

confidence: 99%

Towards Human Stress and Activity Recognition: A Review and a First Approach Based on Low-Cost Wearables

et al. 2022

View full text Add to dashboard Cite

Detecting stress when performing physical activities is an interesting field that has received relatively little research interest to date. In this paper, we took a first step towards redressing this, through a comprehensive review and the design of a low-cost body area network (BAN) made of a set of wearables that allow physiological signals and human movements to be captured simultaneously. We used four different wearables: OpenBCI and three other open-hardware custom-made designs that communicate via bluetooth low energy (BLE) to an external computer—following the edge-computingconcept—hosting applications for data synchronization and storage. We obtained a large number of physiological signals (electroencephalography (EEG), electrocardiography (ECG), breathing rate (BR), electrodermal activity (EDA), and skin temperature (ST)) with which we analyzed internal states in general, but with a focus on stress. The findings show the reliability and feasibility of the proposed body area network (BAN) according to battery lifetime (greater than 15 h), packet loss rate (0% for our custom-made designs), and signal quality (signal-noise ratio (SNR) of 9.8 dB for the ECG circuit, and 61.6 dB for the EDA). Moreover, we conducted a preliminary experiment to gauge the main ECG features for stress detection during rest.

show abstract

Section: Related Work 1human Movement Analysis (Hma)mentioning

confidence: 99%

Towards Human Stress and Activity Recognition: A Review and a First Approach Based on Low-Cost Wearables

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Sensors can measure various parameters other than those introduced above; for example, speech pattern and voice analyses through sensors can be used to assess depression severity and treatment response (39). In addition, using sensors like inertial sensors, bending sensors, and electromyography signals, it is possible to capture human motion through wearable devices (40). Considering studies showing that depressive patients can exhibit gait variability (41) and motor abnormalities (42), future research is expected to use novel wearable devices to investigate how movement changes with depression.…”

Section: Future Trendsmentioning

confidence: 99%

Current Advances in Wearable Devices and Their Sensors in Patients With Depression

et al. 2021

View full text Add to dashboard Cite

In this study, a literature survey was conducted of research into the development and use of wearable devices and sensors in patients with depression. We collected 18 studies that had investigated wearable devices for assessment, monitoring, or prediction of depression. In this report, we examine the sensors of the various types of wearable devices (e.g., actigraphy units, wristbands, fitness trackers, and smartwatches) and parameters measured through sensors in people with depression. In addition, we discuss future trends, referring to research in other areas employing wearable devices, and suggest the challenges of using wearable devices in the field of depression. Real-time objective monitoring of symptoms and novel approaches for diagnosis and treatment using wearable devices will lead to changes in management of patients with depression. During the process, it is necessary to overcome several issues, including limited types of collected data, reliability, user adherence, and privacy concerns.

show abstract

“…At present, there are few reports on psychophysical experiments of interactive perception of music based on hearing, sight, and touch. An experimental system of "vision-touch" interactive perception of music is established [12,13]. Tactile music is generated through "vibrating tactile chair," and "visual music" is displayed on a computer monitor.…”

Section: Related Workmentioning

confidence: 99%

Research on the Application of Wireless Wearable Sensing Devices in Interactive Music

Huizhong

2021

Journal of Sensors

View full text Add to dashboard Cite

Wireless wearable devices can greatly assist and promote the artistic presentation of interactive music and have attracted the attention of more and more composers, musicians, dancers, and visual artists. It can pick up data information in real time, integrate with performers, and provide immersive performance experience. It not only builds a bridge between subjective feeling and spiritual perception for performers and audience but also enables audience to directly observe art information better. This paper mainly introduces the development process of a wearable sensor system designed for monitoring interactive music movement. Firstly, an interactive music motion model is established according to the principle of human body kinematics, and the experimental scheme of measuring the swaying angle of interactive music with a single sensor device is standardized. A multisensor fusion algorithm is proposed to estimate the swing angle of interactive music. Based on the “cost-incentive” emotional model, the wireless wearable device and interactive music model are regarded as continuous variables determined by the emotional effect value and the incentive value. Extract energy, rhythm, harmony, time domain, and spectrum features of interactive music of wireless wearable devices, and reduce the dimension of a music feature space through principal component analysis, spatial projection, and relief feature selection. Finally, the practicability of the system and the accuracy of the algorithm are verified by experiments. The recognition rate of wireless wearable devices and interactive music realized based on this algorithm was improved.

show abstract

Wearable sensing devices for upper limbs: A systematic review

Cited by 25 publications

References 110 publications

Towards Human Stress and Activity Recognition: A Review and a First Approach Based on Low-Cost Wearables

Towards Human Stress and Activity Recognition: A Review and a First Approach Based on Low-Cost Wearables

Current Advances in Wearable Devices and Their Sensors in Patients With Depression

Research on the Application of Wireless Wearable Sensing Devices in Interactive Music

Contact Info

Product

Resources

About