function [PksAndLocsCorrected] = StepcountFunc(dataAcc,StrideTimeSamples,FS);

Cutoff = 0.1;
MinDist = floor(0.7*0.5*StrideTimeSamples);  % Use StrideTimeSamples estimated above

%% USE THE AP ACCELERATION: WIEBREN ZIJLSTRA: ASSESSMENT OF SPATIO-TEMPORAL PARAMTERS DURING UNCONSTRAINED WALKING (2004)

[B,A] = butter(4,5/(FS/2),'low'); % According to article Lamoth: Multiple gait parameters derived from iPod accelerometry predict age-related gait changes
dataAcc = filtfilt(B,A,dataAcc);
APAcceleration = dataAcc(:,3);

% Find minima and maxima in AP acceleration signal
[PosPks,PosLocs] = findpeaks(APAcceleration(:,1),'minpeakdistance',MinDist);
[NegPks,NegLocs] = findpeaks(-APAcceleration(:,1),'minpeakdistance',MinDist);
NegPks = -NegPks;
if isempty(PosPks) && isempty(NegPks)
    PksAndLocs = zeros(0,3);
else
    PksAndLocs = sortrows([PosPks,PosLocs,ones(size(PosPks)) ; NegPks,NegLocs,-ones(size(NegPks))], 2);
end

PksAndLocsCorrected = PosLocs;

end 
% DataLFilt = dataAcc_filt; 


% % From acceleration to 
% Vel = cumsum(detrend(DataLFilt,'constant'))/FS;
% [B,A] = butter(2,Cutoff/(FS/2),'high');
% Pos = cumsum(filtfilt(B,A,Vel))/FS;
% PosFilt = filtfilt(B,A,Pos);
% PosFiltVT = PosFilt(:,1);

% % Find minima and maxima in vertical position
% [PosPks,PosLocs] = findpeaks(PosFiltVT(:,1),'minpeakdistance',MinDist);
% [NegPks,NegLocs] = findpeaks(-PosFiltVT(:,1),'minpeakdistance',MinDist);
% NegPks = -NegPks;
% if isempty(PosPks) && isempty(NegPks)
%     PksAndLocs = zeros(0,3);
% else
%     PksAndLocs = sortrows([PosPks,PosLocs,ones(size(PosPks)) ; NegPks,NegLocs,-ones(size(NegPks))], 2);
% end

% % Correct events for two consecutive maxima or two consecutive minima
% Events = PksAndLocs(:,2);
% NewEvents = PksAndLocs(:,2);
% Signs = PksAndLocs(:,3);
% FalseEventsIX = find(diff(Signs)==0);
% PksAndLocsToAdd = zeros(0,3);
% PksAndLocsToAddNr = 0;
% for i=1:numel(FalseEventsIX),
%     FIX = FalseEventsIX(i);
%     if FIX <= 2
%         % remove the event
%         NewEvents(FIX) = nan;
%     elseif FIX >= numel(Events)-2
%         % remove the next event
%         NewEvents(FIX+1) = nan;
%     else
%         StrideTimesWhenAdding = [Events(FIX+1)-Events(FIX-2),Events(FIX+3)-Events(FIX)];
%         StrideTimesWhenRemoving = Events(FIX+3)-Events(FIX-2);
%         if max(abs(StrideTimesWhenAdding-StrideTimeSamples)) < abs(StrideTimesWhenRemoving-StrideTimeSamples)
%             % add an event
%             [M,IX] = min(Signs(FIX)*APAcceleration((Events(FIX)+1):(Events(FIX+1)-1))); % APAcceleration used to be PosFiltVT
%             PksAndLocsToAddNr = PksAndLocsToAddNr+1;
%             PksAndLocsToAdd(PksAndLocsToAddNr,:) = [M,Events(FIX)+IX,-Signs(FIX)];
%         else
%             % remove an event
%             if FIX >= 5 && FIX <= numel(Events)-5
%                 ExpectedEvent = (Events(FIX-4)+Events(FIX+5))/2;
%             else
%                 ExpectedEvent = (Events(FIX-2)+Events(FIX+3))/2;
%             end
%             if abs(Events(FIX)-ExpectedEvent) > abs(Events(FIX+1)-ExpectedEvent)
%                 NewEvents(FIX) = nan;
%             else
%                 NewEvents(FIX+1) = nan;
%             end
%         end
%     end
% end
% PksAndLocsCorrected = sortrows([PksAndLocs(~isnan(NewEvents),:);PksAndLocsToAdd],2);