Fall Detection System for Monitoring an Elderly Person Based on Six-Axis Gyroscopes

Tang, Maojie; Ou, Dongxiu

doi:10.2991/eame-18.2018.51

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…For example, Bourke and Lyons [ 16 ] used a single biaxial gyroscope and measured changes in angular velocity, angular acceleration and body angle. Tang and Ou [ 17 ] also reported promising results, using a single six-axis gyroscope. The separate use of these sensors already produced promising results but their combination is even better [ 18 ].…”

Section: Related Workmentioning

confidence: 99%

A Machine Learning Multi-Class Approach for Fall Detection Systems Based on Wearable Sensors with a Study on Sampling Rates Selection

Zurbuchen

Wilde

Bruegger

2021

Sensors

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Falls are dangerous for the elderly, often causing serious injuries especially when the fallen person stays on the ground for a long time without assistance. This paper extends our previous work on the development of a Fall Detection System (FDS) using an inertial measurement unit worn at the waist. Data come from SisFall, a publicly available dataset containing records of Activities of Daily Living and falls. We first applied a preprocessing and a feature extraction stage before using five Machine Learning algorithms, allowing us to compare them. Ensemble learning algorithms such as Random Forest and Gradient Boosting have the best performance, with a Sensitivity and Specificity both close to 99%. Our contribution is: a multi-class classification approach for fall detection combined with a study of the effect of the sensors’ sampling rate on the performance of the FDS. Our multi-class classification approach splits the fall into three phases: pre-fall, impact, post-fall. The extension to a multi-class problem is not trivial and we present a well-performing solution. We experimented sampling rates between 1 and 200 Hz. The results show that, while high sampling rates tend to improve performance, a sampling rate of 50 Hz is generally sufficient for an accurate detection.

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Section: Related Workmentioning

confidence: 99%

A Machine Learning Multi-Class Approach for Fall Detection Systems Based on Wearable Sensors with a Study on Sampling Rates Selection

Zurbuchen

Wilde

Bruegger

2021

Sensors

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“…Based on the shortcomings of the previous tool, in this study, a Gyroscope bracelet [8], [9][10] [11][12] for prayer guides for the deaf will be designed which is an innovation from the problem of congregational prayers that are owned by the deaf. This tool uses a different vibration at each prayer position making it easier for the congregation to distinguish the position of the prayer movement.…”

Section: Introductionmentioning

confidence: 99%

Prayer Guide Gyroscope Bracelet for The Deaf Using MPU6050 Sensor

Heriyadi

Fajrin²,

Kartika³

2022

Indones.J.electronic.electromed.med.inf

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The majority of Indonesia's population is Muslim, including more than 13,000 people with hearing impairments. In carrying out congregational prayers, the Deaf find it difficult to follow the instructions of the Imam's movement. The presence of hearing aids cannot be used by all persons with hearing impairments, and hearing aids often cause a buzzing sound, thus disturbing concentration. Therefore, in this study, a gyroscope bracelet will be made to assist people with hearing impairments in following the instructions of the Imam's movement when carrying out congregational prayers. The bracelet worn by the Imam will send a code in the form of a change in angle to the bracelet used by the Deaf congregation. The Z angle is a vertical angle in the gyroscope where the Z angle has an angular velocity of 360 degrees per second. The control system uses Arduino nano FT232RL FTDI FT232. The communication module uses HC-12 SI4463, with a wireless frequency of 433.4 - 473.0 MHz. The sensor for detecting changes in motion is the MPU6050 gyroscope sensor, the vibration indicator uses a micro vibrator motor. The bracelet used by the deaf will read the code from the Imam's device, with a notification in the form of a different vibration on every change in prayer movement. After experimenting with 30 people, the percentage of success was 84% for all prayer positions. Thus, the gyroscope bracelet tool for prayer guides for the Deaf can help the Deaf community in carrying out congregational prayers.

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