TY - GEN
T1 - Gait monitoring for the elderly using a robotic walking aid
AU - Henry, Jason S.
AU - Aharonson, Vered
PY - 2010
Y1 - 2010
N2 - The Personal Aid for Mobility and health Monitoring (PAMM) is a robot prototype that was built as part of a doctoral thesis in MIT, back in 2002. The device's purpose is to assist elderly people in their everyday walking. The robot automatically adjusts itself to the needs of its user by monitoring his/hers gait signals such as direction, velocity and walker grasp force. The objective of this research was to analyze the signals acquired by PAMM in an experiment conducted at an eldercare facility. We used signal processing methods to extract features from the robot's data and correlated them to the subjects' gait condition. Time- and frequency-domain features were extracted and then clustered using a K-Mean classifier. A subgroup of the subjects was medically diagnosed as suffering from gait problems. A set of 5 features was indicated as best clustering this subgroup. The results indicate that PAMM, or a similar prototype, can be used as a diagnostic tool that will enable doctors to monitor from a distance the medical conditions of their elderly patients, thus dramatically reducing clinic visits.
AB - The Personal Aid for Mobility and health Monitoring (PAMM) is a robot prototype that was built as part of a doctoral thesis in MIT, back in 2002. The device's purpose is to assist elderly people in their everyday walking. The robot automatically adjusts itself to the needs of its user by monitoring his/hers gait signals such as direction, velocity and walker grasp force. The objective of this research was to analyze the signals acquired by PAMM in an experiment conducted at an eldercare facility. We used signal processing methods to extract features from the robot's data and correlated them to the subjects' gait condition. Time- and frequency-domain features were extracted and then clustered using a K-Mean classifier. A subgroup of the subjects was medically diagnosed as suffering from gait problems. A set of 5 features was indicated as best clustering this subgroup. The results indicate that PAMM, or a similar prototype, can be used as a diagnostic tool that will enable doctors to monitor from a distance the medical conditions of their elderly patients, thus dramatically reducing clinic visits.
UR - https://www.scopus.com/pages/publications/78651244964
U2 - 10.1109/EEEI.2010.5662196
DO - 10.1109/EEEI.2010.5662196
M3 - Conference contribution
AN - SCOPUS:78651244964
SN - 9781424486809
T3 - 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
SP - 392
EP - 394
BT - 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
T2 - 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
Y2 - 17 November 2010 through 20 November 2010
ER -