TY - GEN
T1 - Load Cell and FSR-Based Hand-Assistive Device
AU - Aneesha, Acharya K.
AU - Bhat, Somashekara
AU - Kanthi, M.
N1 - Publisher Copyright:
© 2021, Springer Nature Singapore Pte Ltd.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2021
Y1 - 2021
N2 - Human upper extremity has numerous functions in day-to-day life. Strokes lead to weakening in hand muscles because of which the patient is unable to hold an object properly. Stroke related problems are treated by physiotherapy and grip strength recovery is assessed by the devices such as Jamar dynamometer and pinch meter. In this paper, load cell and Force Sensing Resistor sensors are used which mimics the use of Jamar dynamometer and assesses the patient recovery quantitatively. The sensory unit consists of the load cell which is used to sense the data and give it to the Wheatstone bridge. Participant is asked to apply force on the developed hand dynamometer and the values of grip strength forces are recorded in the system. This device transmits the participant data wirelessly using the Bluetooth module. Load cell and Force Sensing Resistors (FSR) sensor data are stored in Rapid Miner and the graphs of grip strength are plotted. Thus, the developed prototype helps to determine the grip strength of a disabled person hand using low-cost devices and possible to compare the present and previous results of the assessment. The field of application of this tool is in physiotherapy and occupational therapy.
AB - Human upper extremity has numerous functions in day-to-day life. Strokes lead to weakening in hand muscles because of which the patient is unable to hold an object properly. Stroke related problems are treated by physiotherapy and grip strength recovery is assessed by the devices such as Jamar dynamometer and pinch meter. In this paper, load cell and Force Sensing Resistor sensors are used which mimics the use of Jamar dynamometer and assesses the patient recovery quantitatively. The sensory unit consists of the load cell which is used to sense the data and give it to the Wheatstone bridge. Participant is asked to apply force on the developed hand dynamometer and the values of grip strength forces are recorded in the system. This device transmits the participant data wirelessly using the Bluetooth module. Load cell and Force Sensing Resistors (FSR) sensor data are stored in Rapid Miner and the graphs of grip strength are plotted. Thus, the developed prototype helps to determine the grip strength of a disabled person hand using low-cost devices and possible to compare the present and previous results of the assessment. The field of application of this tool is in physiotherapy and occupational therapy.
UR - https://www.scopus.com/pages/publications/85097060086
UR - https://www.scopus.com/pages/publications/85097060086#tab=citedBy
U2 - 10.1007/978-981-15-6584-7_15
DO - 10.1007/978-981-15-6584-7_15
M3 - Conference contribution
AN - SCOPUS:85097060086
SN - 9789811565830
T3 - Advances in Intelligent Systems and Computing
SP - 148
EP - 156
BT - Progress in Advanced Computing and Intelligent Engineering - Proceedings of ICACIE 2019
A2 - Panigrahi, Chhabi Rani
A2 - Pati, Bibudhendu
A2 - Mohapatra, Prasant
A2 - Buyya, Rajkumar
A2 - Li, Kuan-Ching
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th International Conference on Advanced Computing and Intelligent Engineering, ICACIE 2019
Y2 - 21 December 2019 through 23 December 2019
ER -