How to find minimal distance during locomotion
조회 수: 1 (최근 30일)
이전 댓글 표시
Hello,
I would like to find the distance between two points. I have a dataset with 4 columns , the first and second column are the x,y coordinates for the participants locomotion, the third and fourth columns are the X,Y coordinates for the targets (total targets =9, ). I would like to know if the participant reached a target or several targets during de locomotion using the distance. I wrote this function :
function d= distini(x,X,y,Y)
for i=1:length(x)
for ii=1:9
t= sqrt(((X(ii) - x(i)).^2) + ((Y(ii)- y(i)).^2));
d=t'
end
end
end
thanks in advance
댓글 수: 1
채택된 답변
Jan
2018년 3월 10일
편집: Jan
2018년 3월 10일
I'm not sure, what you are asking for. So just a guess:
function d = distini(x,X,y,Y)
d = zeros(numel(X), numel(x));
X = X(:); % If X and Y are not column vectors
Y = Y(:);
for k = 1:numel(x)
d(:, k) = sqrt((X - x(k)) .^ 2 + (Y - y(k)) .^ 2);
end
end
Does this help?
댓글 수: 5
Jan
2018년 3월 18일
A = rand(2099, 2);
B = rand(9, 2);
D = zeros(9, 1);
for k = 1:9
dist = (A(:, 1) - B(k, 1))^2 + (A(:, 2) - B(k, 2))^2;
D(k) = sqrt(min(dist));
end
Now D(k) contains the minimal distance of the trajectory in A to B(k).
추가 답변 (0개)
참고 항목
카테고리
Help Center 및 File Exchange에서 Assembly에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!