A Sensor Glove for the Interaction with a Nursing-Care Assistive Robot

Pan, Shimin; Lv, Honghao; Duan, Hong; Pang, Gaoyang; Kang, Yi; Yang, Geng

doi:10.1109/icphys.2019.8780354

Cited by 9 publications

(5 citation statements)

References 14 publications

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“…Physical therapists help individuals in all phases of life recover from injuries, decrease pain and stiffness, promote mobility and movement, and maximise function and quality of life by considering a person's physical, psychological, emotional, and social well-being [85,86]. Physiotherapists work in the health care system, including hospitals, schools, private clinics, home care, long-term care facilities, and organisations [86,87]. The increased need for human resources is a current issue in this field, primarily due to the shift from treatment-focused care to preventive care and the increase in the number of older people with chronic conditions and the associated demands on the healthcare system [88].…”

Section: The Impact Of the Use Of Sensor-based Devices On Physiothera...mentioning

confidence: 99%

The Role and Importance of Using Sensor-Based Devices in Medical Rehabilitation: A Literature Review on the New Therapeutic Approaches

Szabo,

Neagu,

Teodorescu

et al. 2023

Sensors

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Due to the growth of sensor technology, more affordable integrated circuits, and connectivity technologies, the usage of wearable equipment and sensing devices for monitoring physical activities, whether for wellness, sports monitoring, or medical rehabilitation, has exploded. The current literature review was performed between October 2022 and February 2023 using PubMed, Web of Science, and Scopus in accordance with P.R.I.S.M.A. criteria. The screening phase resulted in the exclusion of 69 articles that did not fit the themes developed in all subchapters of the study, 41 articles that dealt exclusively with rehabilitation and orthopaedics, 28 articles whose abstracts were not visible, and 10 articles that dealt exclusively with other sensor-based devices and not medical ones; the inclusion phase resulted in the inclusion of 111 articles. Patients who utilise sensor-based devices have several advantages due to rehabilitating a missing component, which marks the accomplishment of a fundamental goal within the rehabilitation program. As technology moves faster and faster forward, the field of medical rehabilitation has to adapt to the time we live in by using technology and intelligent devices. This means changing every part of rehabilitation and finding the most valuable and helpful gadgets that can be used to regain lost functions, keep people healthy, or prevent diseases.

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Section: The Impact Of the Use Of Sensor-based Devices On Physiothera...mentioning

confidence: 99%

The Role and Importance of Using Sensor-Based Devices in Medical Rehabilitation: A Literature Review on the New Therapeutic Approaches

Szabo,

Neagu,

Teodorescu

et al. 2023

Sensors

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show abstract

“…In [107], the authors reported that a sensor glove employed for human-robot interaction in a robotic assistive system was designed, produced, and evaluated. The sensor glove was based on flex sensors, which were utilized to detect the user's finger gestures and IMU, which was used to detect the arm movements of the user.…”

Section: Sensors 2020 20 X For Peer Review 15 Of 28mentioning

confidence: 99%

“…Movement coding for control keyboards and displays for patients with ALS and people with upper and lower limbs palsy EEG/EOG/facial EMG/inertial [103,113,114] Control and implementation of tasks and human-machine interfaces like wheelchair, smart shoe, and robot Inertial/flex sensor/camera/ultrasonic/EOG/EEG/ Kinect/force/torque/FRS/infrared [107][108][109][110][111][112]120,128] Emotion recognition for patients with palsy, autism spectrum disorder Camera/movement/sound/infrared [115,[117][118][119] Gesture recognition for aid communication between deaf people and listeners Flex sensor/inertial/EMG [122][123][124][125][126][127]…”

Section: Main Application Sensors Referencesmentioning

confidence: 99%

Sensors and Systems for Physical Rehabilitation and Health Monitoring—A Review

Nascimento

Bonfati

Freitas

et al. 2020

Sensors

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The use of wearable equipment and sensing devices to monitor physical activities, whether for well-being, sports monitoring, or medical rehabilitation, has expanded rapidly due to the evolution of sensing techniques, cheaper integrated circuits, and the development of connectivity technologies. In this scenario, this paper presents a state-of-the-art review of sensors and systems for rehabilitation and health monitoring. Although we know the increasing importance of data processing techniques, our focus was on analyzing the implementation of sensors and biomedical applications. Although many themes overlap, we organized this review based on three groups: Sensors in Healthcare, Home Medical Assistance, and Continuous Health Monitoring; Systems and Sensors in Physical Rehabilitation; and Assistive Systems.

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“…A large number of data glove for providing information about finger flexion have been proposed in recent years [2,3,[10][11][12][13][14][15][16][17][18][19][20][21][22]. A data glove is consisted of a system with sensors, an electronics microcontroller for data acquisition / processing and power supply.…”

Section: Introductionmentioning

confidence: 99%

“…The data glove allows each finger to have joints ROM measurement. The glove is equipped with 22 resistive sensors that can measure the displacement of a finger [13,[18][19][20][21][22][23][24][25], and can communicate with the personal computer (PC) through wireless or USB serial connection.…”

Section: Introductionmentioning

confidence: 99%

IMU sensor-based data glove for finger joint measurement

Hazman

Nordin

Noh

et al. 2020

IJEECS

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<p>The methods used to quantify finger range of motion significantly influence how hand disability is reported. To date, the accuracy of sensors being utilized in data gloves from the literature has been ascertained yet need further analysis. This paper presents an inertial measurement unit sensor-based data glove for finger joint measurement developed for collecting a range of motion data of distal interphalangeal, proximal interphalangeal and metacarpophalangeal finger joints of an index finger. In this study, three inertial measurement sensors, MPU-6050 and two flexible bend sensors which are capable to detect angle displacement were attached to the distal interphalangeal, proximal interphalangeal and metacarpophalangeal finger joint points on the glove. The data taken from inertial measurement unit sensors and flexible bend sensors were acquired using Arduino and MATLAB software interface. The data obtained were compared with the reference data measured from goniometer to allow for accurate comparative measurement. The percentage of error resulted from MPU-6050 sensor unit were ranged from 0.81 % to 5.41 % were very low which indicates high accuracy when compared with the measurements obtained using goniometer. On the other hand, flexible bend sensor shows low accuracy (11.11 % to 19.35 % error). In conclusion, the inertial measurement unit sensor-based data glove using MPU-6050 sensors can be a reliable solution for tracking the progress of finger rehabilitation exercises. In order to motivate patients to adhere to the therapy exercises, interactive rehabilitation game will be developed in the future incorporating MPU-6050 sensors on all five fingers.</p>

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A Sensor Glove for the Interaction with a Nursing-Care Assistive Robot

Cited by 9 publications

References 14 publications

The Role and Importance of Using Sensor-Based Devices in Medical Rehabilitation: A Literature Review on the New Therapeutic Approaches

The Role and Importance of Using Sensor-Based Devices in Medical Rehabilitation: A Literature Review on the New Therapeutic Approaches

Sensors and Systems for Physical Rehabilitation and Health Monitoring—A Review

IMU sensor-based data glove for finger joint measurement

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