US 9,809,115 B2
Operator drowsiness detection in surface mines
Urban Mäder, Zürich (CH); Andrea Boris Schlapbach, Hausen am Albis (CH); and Peter Spring, Thalwil (CH)
Assigned to SAFEMINE AG, Baar (CH)
Appl. No. 14/900,363
Filed by SAFEMINE AG, Baar (CH)
PCT Filed Jun. 26, 2014, PCT No. PCT/CH2014/000088
§ 371(c)(1), (2) Date Dec. 21, 2015,
PCT Pub. No. WO2015/000087, PCT Pub. Date Jan. 8, 2015.
Claims priority of application No. 2013206671 (AU), filed on Jul. 3, 2013.
Prior Publication US 2016/0137059 A1, May 19, 2016
Int. Cl. B60K 28/06 (2006.01); G08B 21/06 (2006.01); B60Q 9/00 (2006.01); B60W 40/08 (2012.01)
CPC B60K 28/066 (2013.01) [B60K 28/06 (2013.01); B60Q 9/008 (2013.01); B60W 40/08 (2013.01); G08B 21/06 (2013.01); B60W 2040/0827 (2013.01)] 25 Claims
OG exemplary drawing
 
23. A drowsiness detection device for deriving a fatigue score indicative of a current drowsiness state of an operator comprising:
a first sensor for measuring at least one machine control signal which is indicative of a control input to a machine from said operator,
a second sensor for measuring at least one operator signal which is indicative of a physiological and/or a behavioral state of said operator, and
a control unit configured to:
determine an operator identification signal for uniquely identifying said operator and for taking personal characteristics of said operator into account by means of a personalized fatigue model for improving a precision of the derivation of said fatigue score,
load from a local memory and/or receiving via a wirebound or wireless link from a remote database at least one generic signal which is indicative of said personalized fatigue model for said uniquely identified operator by means of said operator identification signal,
wherein the personalized fatigue model is indicative of how at least two of said machine control signal and operator signal contribute to the derivation of the fatigue score, and
derive, using said machine control signal, said operator signal, and said operator identification signal, said fatigue score which is indicative of said current drowsiness state of said uniquely identified operator,
wherein said step of deriving said fatigue score comprises a personalized weighing of at least two of said machine control signal and said operator signal.