IoT Based Smart Wheelchair for Elderly Healthcare Monitoring

Hou, Lei; Latif, Jawwad; Mehryar, Pouyan; Ali, Zulfiqur; Withers, Stephen; Plastropoulos, A.

doi:10.1109/icccs52626.2021.9449273

Cited by 9 publications

(15 citation statements)

References 15 publications

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“…The handrail of the wheelchair system included three biophysical sensors: pulse oxygen (SpO2), blood pressure, and temperature sensors to collect and transmit four kinds of vital signs from users (blood oxygen levels, pulse rate, blood pressure and temperature) [27], as depicted in Fig. 2.…”

Section: A Wheelchair Monitoring Interfacementioning

confidence: 99%

“…The autonomous driving experiments were conducted in the factory testing area [37]. We described the smart wheelchair safety and obstacle detection system in our previously published papers [27]. Based on that system, the wheelchair was improved to travel autonomously from point to point inside a lager and obstacle completed area.…”

Section: Ichair Autonomous Drivingmentioning

confidence: 99%

“…The robotic wheelchair system was designed based on the research of our previously published papers [27].…”

Section: A System Architecturementioning

confidence: 99%

“…The data acquisition system processes, compresses and uploads the measurements from biophysical sensors. A MATLAB graphic user interface allows users and doctors access and diagnose the health information in real-time [27].…”

Section: Figuresmentioning

confidence: 99%

“…Figure 2 The prototype of the smart wheelchair consists of a controller box, laser power system, screens, and biophysical sensors [27].…”

Section: Figuresmentioning

confidence: 99%

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An Autonomous Wheelchair with Health Monitoring System based on Internet of Thing

Hou,

Latif,

Mehryar

et al. 2024

Preprint

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Assistive powered wheelchairs will bring patients and elderly the ability of remain mobile without the direct intervention from caregivers. Vital signs from users can be collected and analyzed remotely to allow better disease prevention and proactive management of health and chronic conditions. This research proposes an autonomous wheelchair prototype system integrated with biophysical sensors based on internet of thing (IoT). A powered wheelchair system was developed with three biophysical sensors to collect, transmit and analysis users’ four vital signs to provide real-time feedback to users and clinicians. A user interface software embedded with the cloud artificial intelligence (AI) algorithms was developed for the data visualization and analysis. An improved data compression algorithm Minimalist, Adaptive and Streaming R-bit (O-MAS-R) was proposed to achieve a higher compression ratio with minimum 7.1%, maximum 45.25% compared with MAS algorithm during the data transmission. At the same time, the prototype wheelchair, accompanied with a smart-chair app, assimilates data from the onboard sensors and characteristics features within the surroundings in real-time to achieve the functions including obstruct laser scanning, autonomous localization, and point-to-point route planning and moving within a predefined area. In conclusion, the wheelchair prototype uses AI algorithms and navigation technology to help patients and elderly maintain their independent mobility and monitor their healthcare information in real-time.

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Section: A Wheelchair Monitoring Interfacementioning

confidence: 99%

Section: Ichair Autonomous Drivingmentioning

confidence: 99%

“…The robotic wheelchair system was designed based on the research of our previously published papers [27].…”

Section: A System Architecturementioning

confidence: 99%

Section: Figuresmentioning

confidence: 99%

“…Figure 2 The prototype of the smart wheelchair consists of a controller box, laser power system, screens, and biophysical sensors [27].…”

Section: Figuresmentioning